{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Automated ML for time series predicion"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We used one of the dataset in [Numenta Anomaly Benchmark (NAB)](https://github.com/numenta/NAB) for demo, i.e. NYC taxi passengers dataset, which contains 10320 records, each indicating the total number of taxi passengers in NYC at a corresonponding time spot. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "%load_ext autoreload\n",
    "%autoreload 2"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 0. Helper function definations"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# plot the predicted values and actual values (for the test data)\n",
    "def plot_result(test_df, pred_df, dt_col=\"timestamp\", value_col=\"value\", past_seq_len=1):\n",
    "    # target column of dataframe is \"value\"\n",
    "    # default past sequence length is 1\n",
    "    pred_value = pred_df[value_col].values\n",
    "    true_value = test_df[value_col].values[past_seq_len:]\n",
    "    fig, axs = plt.subplots(figsize=(12, 5))\n",
    "\n",
    "    axs.plot(pred_df[dt_col], pred_value, color='red', label='predicted values')\n",
    "    axs.plot(test_df[dt_col][past_seq_len:], true_value, color='blue', label='actual values')\n",
    "    axs.set_title('the predicted values and actual values (for the test data)')\n",
    "\n",
    "    plt.xlabel(dt_col)\n",
    "    plt.xticks(rotation=45)\n",
    "    plt.ylabel('number of taxi passengers')\n",
    "    plt.legend(loc='upper left')\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# plot results of multi step forecasting\n",
    "# plot at most five values for better view\n",
    "# plot the predicted values and actual values (for the test data)\n",
    "def plot_less_five_step_result(test_df, pred_df, dt_col=\"timestamp\", value_col=\"value\", past_seq_len=1):\n",
    "    fig, axs = plt.subplots(figsize=(12, 5))\n",
    "    target_value = test_df[value_col].values[past_seq_len:]\n",
    "    axs.plot(test_df[dt_col][past_seq_len:], target_value, color='blue', label='actual values')\n",
    "\n",
    "    value_cols=[\"{}_{}\".format(value_col, i) for i in range(min(pred_df.shape[1] - 1, 5))]\n",
    "    time_delta = pred_df[dt_col][1] - pred_df[dt_col][0]\n",
    "    plot_color = [\"g\", \"r\", \"c\", \"m\", \"y\"]\n",
    "    for i in range(len(value_cols)):\n",
    "        pred_value = pred_df[value_cols[i]].values\n",
    "        pred_dt = pred_df[dt_col].values + time_delta * i\n",
    "        axs.plot(pred_dt, pred_value, color=plot_color[i], label='predicted values' + str(i))\n",
    "\n",
    "    axs.set_title('the predicted values and actual values (for the test data)')\n",
    "\n",
    "    plt.xlabel(dt_col)\n",
    "    plt.xticks(rotation=45)\n",
    "    plt.ylabel('number of taxi passengers')\n",
    "    plt.legend(loc='upper left')\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "# plot results of multi step forecasting\n",
    "# plot result of multi step forecasting\n",
    "# plot the predicted values and actual values (for the test data)\n",
    "def plot_first_last_step_result(test_df, pred_df, dt_col=\"timestamp\", value_col=\"value\", past_seq_len=1):\n",
    "    fig, axs = plt.subplots(figsize=(12, 5))\n",
    "    target_value = test_df[value_col].values[past_seq_len:]\n",
    "    axs.plot(test_df[dt_col][past_seq_len:], target_value, color='blue', label='actual values')\n",
    "\n",
    "    value_cols=[\"{}_{}\".format(value_col, i) for i in range(pred_df.shape[1] - 1)]\n",
    "    time_delta = pred_df[dt_col][1] - pred_df[dt_col][0]\n",
    "  \n",
    "    pred_value_first = pred_df[value_cols[0]].values\n",
    "    pred_dt_first = pred_df[dt_col].values\n",
    "    axs.plot(pred_dt_first, pred_value_first, color=\"g\", label='first predicted values')\n",
    " \n",
    "    pred_value_last = pred_df[value_cols[-1]].values\n",
    "    pred_dt_last = pred_df[dt_col].values + time_delta * (len(value_cols)-1)\n",
    "    axs.plot(pred_dt_last, pred_value_last, color=\"r\", label='last predicted values')\n",
    "\n",
    "    axs.set_title('the predicted values and actual values (for the test data)')\n",
    "\n",
    "    plt.xlabel(dt_col)\n",
    "    plt.xticks(rotation=45)\n",
    "    plt.ylabel('number of taxi passengers')\n",
    "    plt.legend(loc='upper left')\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 1. load data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Populating the interactive namespace from numpy and matplotlib\n"
     ]
    }
   ],
   "source": [
    "import os\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "\n",
    "import matplotlib\n",
    "matplotlib.use('Agg')\n",
    "%pylab inline\n",
    "import matplotlib.dates as md\n",
    "from matplotlib import pyplot as plt"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now we download the dataset and load it into a pandas dataframe.\n",
    "Run the script `$ANALYTICS_ZOO_HOME/dist/bin/data/NAB/nyc_taxi/get_nyc_taxi.sh` to download the raw data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "# load nyc taxi data\n",
    "try:\n",
    "    dataset_path = os.getenv(\"ANALYTICS_ZOO_HOME\")+\"/bin/data/NAB/nyc_taxi/nyc_taxi.csv\"\n",
    "    raw_df = pd.read_csv(dataset_path)\n",
    "except Exception as e:\n",
    "    print(\"nyc_taxi.csv doesn't exist\")\n",
    "    print(\"you can run $ANALYTICS_ZOO_HOME/bin/data/NAB/nyc_taxi/get_nyc_taxi.sh to download nyc_taxi.csv\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Below are some example records of the data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>timestamp</th>\n",
       "      <th>value</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2014-07-01 00:00:00</td>\n",
       "      <td>10844</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2014-07-01 00:30:00</td>\n",
       "      <td>8127</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2014-07-01 01:00:00</td>\n",
       "      <td>6210</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2014-07-01 01:30:00</td>\n",
       "      <td>4656</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2014-07-01 02:00:00</td>\n",
       "      <td>3820</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             timestamp  value\n",
       "0  2014-07-01 00:00:00  10844\n",
       "1  2014-07-01 00:30:00   8127\n",
       "2  2014-07-01 01:00:00   6210\n",
       "3  2014-07-01 01:30:00   4656\n",
       "4  2014-07-01 02:00:00   3820"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "raw_df.head(5)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Convert string timestamp to TimeStamp"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>timestamp</th>\n",
       "      <th>value</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2014-07-01 00:00:00</td>\n",
       "      <td>10844</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2014-07-01 00:30:00</td>\n",
       "      <td>8127</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2014-07-01 01:00:00</td>\n",
       "      <td>6210</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2014-07-01 01:30:00</td>\n",
       "      <td>4656</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2014-07-01 02:00:00</td>\n",
       "      <td>3820</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            timestamp  value\n",
       "0 2014-07-01 00:00:00  10844\n",
       "1 2014-07-01 00:30:00   8127\n",
       "2 2014-07-01 01:00:00   6210\n",
       "3 2014-07-01 01:30:00   4656\n",
       "4 2014-07-01 02:00:00   3820"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.DataFrame(pd.to_datetime(raw_df.timestamp))\n",
    "df[\"value\"] = raw_df[\"value\"]\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You can use train_val_test_split to split the whole dataset into train/val/test sets. There will be two columns in the output dataframe: \"timestamp\" and \"value\", where the data type of \"timestamp\" column is datetime64."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "from zoo.automl.common.util import train_val_test_split\n",
    "train_df, val_df, test_df = train_val_test_split(df, val_ratio=0.1, test_ratio=0.1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>value</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>8256.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>15421.585514</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>6871.989592</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1431.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>11040.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>17014.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>20032.250000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>39197.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              value\n",
       "count   8256.000000\n",
       "mean   15421.585514\n",
       "std     6871.989592\n",
       "min     1431.000000\n",
       "25%    11040.000000\n",
       "50%    17014.500000\n",
       "75%    20032.250000\n",
       "max    39197.000000"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_df.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>timestamp</th>\n",
       "      <th>value</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2014-07-01 00:00:00</td>\n",
       "      <td>10844</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2014-07-01 00:30:00</td>\n",
       "      <td>8127</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2014-07-01 01:00:00</td>\n",
       "      <td>6210</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2014-07-01 01:30:00</td>\n",
       "      <td>4656</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2014-07-01 02:00:00</td>\n",
       "      <td>3820</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            timestamp  value\n",
       "0 2014-07-01 00:00:00  10844\n",
       "1 2014-07-01 00:30:00   8127\n",
       "2 2014-07-01 01:00:00   6210\n",
       "3 2014-07-01 01:30:00   4656\n",
       "4 2014-07-01 02:00:00   3820"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The shape of train_df is (8256, 2)\n",
      "The shape of val_df is (1032, 2)\n",
      "The shape of test_df is (1032, 2)\n"
     ]
    }
   ],
   "source": [
    "# shape of the dataframe\n",
    "print(\"The shape of train_df is\", train_df.shape)\n",
    "print(\"The shape of val_df is\", val_df.shape)\n",
    "print(\"The shape of test_df is\", test_df.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "No handles with labels found to put in legend.\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# visualisation of anomaly throughout time in train_df\n",
    "from pandas.plotting import register_matplotlib_converters\n",
    "register_matplotlib_converters()\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(12, 5))\n",
    "# pd.plotting.deregister_matplotlib_converters()\n",
    "\n",
    "ax.plot(train_df['timestamp'], train_df['value'], color='blue', linewidth=0.6)\n",
    "ax.set_title('NYC taxi passengers throughout time')\n",
    "\n",
    "plt.xlabel('timestamp')\n",
    "plt.xticks(rotation=45) \n",
    "plt.ylabel('The Number of NYC taxi passengers')\n",
    "plt.legend(loc='upper left')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2. Train and validation"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You can use analytices zoo automl to predict time series data by simply define a `TimeSequencePredictor`. \n",
    "\n",
    "We use feature tools to generate features from the given datetime. The generated features are \\['HOUR', 'DAY', 'MONTH'. 'IS_AWAKE', 'IS_BUSY_HOURS'\\]. Our feature space comprises these generated features as well as the original inputs such as \\['datetime','value','extra_features'\\].  \n",
    "\n",
    "Currently, We use RNN to learn from 50 previous values, and predict just the 1 next value. You can specify the sequence length to predict while creating `TimeSequencePredictor` with arg: `future_seq_len`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "# build time sequence predictor\n",
    "from zoo.automl.regression.time_sequence_predictor import *\n",
    "\n",
    "# you need to specify the name of datetime column and target column\n",
    "# The default names are \"timestamp\" and \"value\" respectively.\n",
    "tsp = TimeSequencePredictor(dt_col=\"timestamp\",\n",
    "                            target_col=\"value\",\n",
    "                            extra_features_col=None)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Current pyspark location is : /Users/liuruolan/spark-2.4.3-bin-hadoop2.7/python/lib/pyspark.zip/pyspark/__init__.py\n",
      "Start to getOrCreate SparkContext\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2020-06-11 14:17:58,562\tINFO resource_spec.py:212 -- Starting Ray with 2.1 GiB memory available for workers and up to 0.93 GiB for objects. You can adjust these settings with ray.init(memory=<bytes>, object_store_memory=<bytes>).\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Successfully got a SparkContext\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2020-06-11 14:17:59,021\tINFO services.py:1148 -- View the Ray dashboard at \u001B[1m\u001B[32mlocalhost:8265\u001B[39m\u001B[22m\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "{'node_ip_address': '192.168.101.6',\n",
       " 'redis_address': '192.168.101.6:44879',\n",
       " 'object_store_address': '/tmp/ray/session_2020-06-11_14-17-58_547548_12576/sockets/plasma_store',\n",
       " 'raylet_socket_name': '/tmp/ray/session_2020-06-11_14-17-58_547548_12576/sockets/raylet',\n",
       " 'webui_url': 'localhost:8265',\n",
       " 'session_dir': '/tmp/ray/session_2020-06-11_14-17-58_547548_12576'}"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from zoo import init_spark_on_local\n",
    "from zoo.ray import RayContext\n",
    "sc = init_spark_on_local(cores=4)\n",
    "ray_ctx = RayContext(sc=sc, object_store_memory=\"1g\")\n",
    "ray_ctx.init()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "== Status ==<br>Memory usage on this node: 5.2/8.0 GiB<br>Using FIFO scheduling algorithm.<br>Resources requested: 0/4 CPUs, 0/0 GPUs, 0.0/2.1 GiB heap, 0.0/0.63 GiB objects<br>Result logdir: /Users/liuruolan/ray_results/automl<br>Number of trials: 3 (3 TERMINATED)<br><table>\n",
       "<thead>\n",
       "<tr><th>Trial name      </th><th>status    </th><th>loc  </th><th style=\"text-align: right;\">  batch_size</th><th style=\"text-align: right;\">  dropout_2</th><th style=\"text-align: right;\">        lr</th><th style=\"text-align: right;\">  lstm_1_units</th><th style=\"text-align: right;\">  lstm_2_units</th><th>selected_features                                                                                                                       </th><th style=\"text-align: right;\">  iter</th><th style=\"text-align: right;\">  total time (s)</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "<tr><td>train_func_00000</td><td>TERMINATED</td><td>     </td><td style=\"text-align: right;\">          64</td><td style=\"text-align: right;\">   0.485535</td><td style=\"text-align: right;\">0.00733797</td><td style=\"text-align: right;\">            64</td><td style=\"text-align: right;\">            16</td><td>[&quot;IS_AWAKE(timestamp)&quot;, &quot;IS_BUSY_HOURS(timestamp)&quot;, &quot;MONTH(timestamp)&quot;, &quot;DAY(timestamp)&quot;, &quot;IS_WEEKEND(timestamp)&quot;, &quot;WEEKDAY(timestamp)&quot;]</td><td style=\"text-align: right;\">    10</td><td style=\"text-align: right;\">         43.5348</td></tr>\n",
       "<tr><td>train_func_00001</td><td>TERMINATED</td><td>     </td><td style=\"text-align: right;\">          64</td><td style=\"text-align: right;\">   0.431602</td><td style=\"text-align: right;\">0.00337888</td><td style=\"text-align: right;\">            16</td><td style=\"text-align: right;\">            32</td><td>[&quot;IS_BUSY_HOURS(timestamp)&quot;, &quot;IS_AWAKE(timestamp)&quot;, &quot;WEEKDAY(timestamp)&quot;, &quot;HOUR(timestamp)&quot;]                                            </td><td style=\"text-align: right;\">    10</td><td style=\"text-align: right;\">         41.3426</td></tr>\n",
       "<tr><td>train_func_00002</td><td>TERMINATED</td><td>     </td><td style=\"text-align: right;\">          64</td><td style=\"text-align: right;\">   0.37464 </td><td style=\"text-align: right;\">0.00753538</td><td style=\"text-align: right;\">           128</td><td style=\"text-align: right;\">            64</td><td>[&quot;IS_BUSY_HOURS(timestamp)&quot;, &quot;HOUR(timestamp)&quot;, &quot;WEEKDAY(timestamp)&quot;, &quot;MONTH(timestamp)&quot;]                                               </td><td style=\"text-align: right;\">    10</td><td style=\"text-align: right;\">         40.7521</td></tr>\n",
       "</tbody>\n",
       "</table><br><br>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "best log dir is  /Users/liuruolan/ray_results/automl/train_func_1_batch_size=64,dropout_2=0.4316,lr=0.0033789,lstm_1_units=16,lstm_2_units=32,selected_features=[\"IS_BUSY_HOURS(timesta_2020-06-11_14-21-05_fecmp7f\n",
      "The best configurations are:\n",
      "selected_features : [\"IS_BUSY_HOURS(timestamp)\", \"IS_AWAKE(timestamp)\", \"WEEKDAY(timestamp)\", \"HOUR(timestamp)\"]\n",
      "model : LSTM\n",
      "lstm_1_units : 16\n",
      "dropout_1 : 0.2\n",
      "lstm_2_units : 32\n",
      "dropout_2 : 0.43160224795875773\n",
      "lr : 0.003378878016568929\n",
      "batch_size : 64\n",
      "epochs : 2\n",
      "past_seq_len : 5\n",
      "WARNING:tensorflow:From /anaconda3/envs/automl/lib/python3.6/site-packages/tensorflow_core/python/ops/init_ops.py:97: calling GlorotUniform.__init__ (from tensorflow.python.ops.init_ops) with dtype is deprecated and will be removed in a future version.\n",
      "Instructions for updating:\n",
      "Call initializer instance with the dtype argument instead of passing it to the constructor\n",
      "WARNING:tensorflow:From /anaconda3/envs/automl/lib/python3.6/site-packages/tensorflow_core/python/ops/init_ops.py:97: calling Orthogonal.__init__ (from tensorflow.python.ops.init_ops) with dtype is deprecated and will be removed in a future version.\n",
      "Instructions for updating:\n",
      "Call initializer instance with the dtype argument instead of passing it to the constructor\n",
      "WARNING:tensorflow:From /anaconda3/envs/automl/lib/python3.6/site-packages/tensorflow_core/python/ops/init_ops.py:97: calling Zeros.__init__ (from tensorflow.python.ops.init_ops) with dtype is deprecated and will be removed in a future version.\n",
      "Instructions for updating:\n",
      "Call initializer instance with the dtype argument instead of passing it to the constructor\n",
      "WARNING:tensorflow:From /anaconda3/envs/automl/lib/python3.6/site-packages/tensorflow_core/python/ops/resource_variable_ops.py:1630: calling BaseResourceVariable.__init__ (from tensorflow.python.ops.resource_variable_ops) with constraint is deprecated and will be removed in a future version.\n",
      "Instructions for updating:\n",
      "If using Keras pass *_constraint arguments to layers.\n",
      "WARNING:tensorflow:OMP_NUM_THREADS is no longer used by the default Keras config. To configure the number of threads, use tf.config.threading APIs.\n",
      "WARNING:tensorflow:From /anaconda3/envs/automl/lib/python3.6/site-packages/tensorflow_core/python/ops/math_grad.py:1424: where (from tensorflow.python.ops.array_ops) is deprecated and will be removed in a future version.\n",
      "Instructions for updating:\n",
      "Use tf.where in 2.0, which has the same broadcast rule as np.where\n",
      "Training completed.\n",
      "CPU times: user 4.85 s, sys: 1.24 s, total: 6.09 s\n",
      "Wall time: 1min 38s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "# fit train_df and validate with val_df, return the best trial as pipeline.\n",
    "# the default recipe is SmokeRecipe,which runs one epoch and one iteration with only 1 random sample.\n",
    "# you can change recipe by define `recipe` in `fit`. The recipes you can choose are SmokeRecipe, RandomRecipe, LSTMGridRandomRecipe, GridRandomRecipe and BayesRecipe.\n",
    "look_back_single = 5\n",
    "pipeline = tsp.fit(train_df,\n",
    "                   validation_df=val_df,\n",
    "                   metric=\"mse\",\n",
    "                   recipe=LSTMGridRandomRecipe(\n",
    "                              num_rand_samples=1,\n",
    "                              epochs=2,\n",
    "                              look_back=look_back_single, \n",
    "                              batch_size=[64]))\n",
    "print(\"Training completed.\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 3. Test"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "# predict test_df with the best trial\n",
    "pred_df = pipeline.predict(test_df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>timestamp</th>\n",
       "      <th>value</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2015-01-10 14:30:00</td>\n",
       "      <td>20910.943359</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2015-01-10 15:00:00</td>\n",
       "      <td>22121.316406</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2015-01-10 15:30:00</td>\n",
       "      <td>22864.675781</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2015-01-10 16:00:00</td>\n",
       "      <td>23598.687500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2015-01-10 16:30:00</td>\n",
       "      <td>21863.769531</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            timestamp         value\n",
       "0 2015-01-10 14:30:00  20910.943359\n",
       "1 2015-01-10 15:00:00  22121.316406\n",
       "2 2015-01-10 15:30:00  22864.675781\n",
       "3 2015-01-10 16:00:00  23598.687500\n",
       "4 2015-01-10 16:30:00  21863.769531"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pred_df.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>timestamp</th>\n",
       "      <th>value</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2015-01-10 14:30:00</td>\n",
       "      <td>22371</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2015-01-10 15:00:00</td>\n",
       "      <td>23119</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>2015-01-10 15:30:00</td>\n",
       "      <td>23941</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>2015-01-10 16:00:00</td>\n",
       "      <td>22728</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>2015-01-10 16:30:00</td>\n",
       "      <td>20126</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            timestamp  value\n",
       "5 2015-01-10 14:30:00  22371\n",
       "6 2015-01-10 15:00:00  23119\n",
       "7 2015-01-10 15:30:00  23941\n",
       "8 2015-01-10 16:00:00  22728\n",
       "9 2015-01-10 16:30:00  20126"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# prediction value start from look_back_single\n",
    "test_df[look_back_single:look_back_single+5]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plot the predicted values and actual values\n",
    "plot_result(test_df, pred_df,past_seq_len=look_back_single)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Evaluate: the mean square error is 1630779.4204776406\n",
      "Evaluate: the smape value is 7.461118313058935\n"
     ]
    }
   ],
   "source": [
    "# evaluate test_df\n",
    "mse, smape = pipeline.evaluate(test_df, metrics=[\"mse\", \"smape\"])\n",
    "print(\"Evaluate: the mean square error is\", mse)\n",
    "print(\"Evaluate: the smape value is\", smape)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 4. save and restore"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We provide save and restore interface to save the pipeline with the best trial for easily rebuilding."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Pipeline is saved in /tmp/saved_pipeline/my.ppl\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "'/tmp/saved_pipeline/my.ppl'"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# save the pipeline with best trial\n",
    "pipeline.save(\"/tmp/saved_pipeline/my.ppl\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Restore pipeline from /tmp/saved_pipeline/my.ppl\n"
     ]
    }
   ],
   "source": [
    "from zoo.automl.pipeline.time_sequence import load_ts_pipeline\n",
    "new_pipeline = load_ts_pipeline(\"/tmp/saved_pipeline/my.ppl\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "# you can do predict and evaluate again\n",
    "# we use test_df as input in order to compare results before and after restoration \n",
    "new_pred = new_pipeline.predict(test_df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>timestamp</th>\n",
       "      <th>value</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2015-01-10 14:30:00</td>\n",
       "      <td>20910.943359</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2015-01-10 15:00:00</td>\n",
       "      <td>22121.316406</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2015-01-10 15:30:00</td>\n",
       "      <td>22864.675781</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2015-01-10 16:00:00</td>\n",
       "      <td>23598.687500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2015-01-10 16:30:00</td>\n",
       "      <td>21863.769531</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            timestamp         value\n",
       "0 2015-01-10 14:30:00  20910.943359\n",
       "1 2015-01-10 15:00:00  22121.316406\n",
       "2 2015-01-10 15:30:00  22864.675781\n",
       "3 2015-01-10 16:00:00  23598.687500\n",
       "4 2015-01-10 16:30:00  21863.769531"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "new_pred.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Evaluate: the mean square error is 1630779.4204776406\n",
      "Evaluate: the smape value is 7.461118313058935\n"
     ]
    }
   ],
   "source": [
    "# evaluate test_df\n",
    "mse, smape = new_pipeline.evaluate(test_df, metrics=[\"mse\", \"smape\"])\n",
    "print(\"Evaluate: the mean square error is\", mse)\n",
    "print(\"Evaluate: the smape value is\", smape)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 5. continue training"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We support continue training with incremental data using the best configuration searched and the trained model."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "**** Initialization info ****\n",
      "future_seq_len: 1\n",
      "dt_col: timestamp\n",
      "target_col: value\n",
      "extra_features_col: None\n",
      "drop_missing: True\n",
      "\n"
     ]
    }
   ],
   "source": [
    "# review the initialization infomation if needed\n",
    "new_pipeline.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train on 1027 samples\n",
      "Epoch 1/5\n",
      "1027/1027 [==============================] - 2s 2ms/sample - loss: 0.0518 - mean_squared_error: 0.0518\n",
      "Epoch 2/5\n",
      "1027/1027 [==============================] - 0s 217us/sample - loss: 0.0545 - mean_squared_error: 0.0545\n",
      "Epoch 3/5\n",
      "1027/1027 [==============================] - 0s 205us/sample - loss: 0.0568 - mean_squared_error: 0.0568\n",
      "Epoch 4/5\n",
      "1027/1027 [==============================] - 0s 216us/sample - loss: 0.0523 - mean_squared_error: 0.0523\n",
      "Epoch 5/5\n",
      "1027/1027 [==============================] - 0s 229us/sample - loss: 0.0546 - mean_squared_error: 0.0546\n",
      "Fit done!\n"
     ]
    }
   ],
   "source": [
    "# Use val_df as incremental data\n",
    "new_pipeline.fit(val_df,epoch_num=5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# predict results of test_df\n",
    "new_pred_df = new_pipeline.predict(test_df)\n",
    "plot_result(test_df, new_pred_df,past_seq_len = look_back_single)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Evaluate: the mean square error is 1286511.2008888382\n",
      "Evaluate: the smape value is 5.916551012985478\n"
     ]
    }
   ],
   "source": [
    "# evaluate test_df\n",
    "mse, smape = new_pipeline.evaluate(test_df, metrics=[\"mse\", \"smape\"])\n",
    "print(\"Evaluate: the mean square error is\", mse)\n",
    "print(\"Evaluate: the smape value is\", smape)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 6. multi step forecasting "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You can do multi step forecasting by simply changing the `future_seq_len` option while creating a new `TimeSequencePredictor` object."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "metadata": {},
   "outputs": [],
   "source": [
    "# build time sequence predictor\n",
    "from zoo.automl.regression.time_sequence_predictor import *\n",
    "\n",
    "# change future_seq_len into the step you want to forcast.\n",
    "tsp = TimeSequencePredictor(future_seq_len=5,\n",
    "                            dt_col=\"timestamp\",\n",
    "                            target_col=\"value\",\n",
    "                            extra_features_col=None)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "== Status ==<br>Memory usage on this node: 5.4/8.0 GiB<br>Using FIFO scheduling algorithm.<br>Resources requested: 0/4 CPUs, 0/0 GPUs, 0.0/2.1 GiB heap, 0.0/0.63 GiB objects<br>Result logdir: /Users/liuruolan/ray_results/automl<br>Number of trials: 9 (9 TERMINATED)<br><table>\n",
       "<thead>\n",
       "<tr><th>Trial name      </th><th>status    </th><th>loc  </th><th style=\"text-align: right;\">  batch_size</th><th style=\"text-align: right;\">  dropout_2</th><th style=\"text-align: right;\">        lr</th><th style=\"text-align: right;\">  lstm_1_units</th><th style=\"text-align: right;\">  lstm_2_units</th><th>selected_features                                                                                                   </th><th style=\"text-align: right;\">  iter</th><th style=\"text-align: right;\">  total time (s)</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "<tr><td>train_func_00000</td><td>TERMINATED</td><td>     </td><td style=\"text-align: right;\">          64</td><td style=\"text-align: right;\">   0.43932 </td><td style=\"text-align: right;\">0.00710839</td><td style=\"text-align: right;\">           128</td><td style=\"text-align: right;\">            16</td><td>[&quot;HOUR(timestamp)&quot;, &quot;WEEKDAY(timestamp)&quot;, &quot;IS_BUSY_HOURS(timestamp)&quot;, &quot;DAY(timestamp)&quot;, &quot;IS_AWAKE(timestamp)&quot;]      </td><td style=\"text-align: right;\">    10</td><td style=\"text-align: right;\">         95.5503</td></tr>\n",
       "<tr><td>train_func_00001</td><td>TERMINATED</td><td>     </td><td style=\"text-align: right;\">          64</td><td style=\"text-align: right;\">   0.456072</td><td style=\"text-align: right;\">0.00728148</td><td style=\"text-align: right;\">            64</td><td style=\"text-align: right;\">            32</td><td>[&quot;IS_WEEKEND(timestamp)&quot;, &quot;IS_AWAKE(timestamp)&quot;, &quot;IS_BUSY_HOURS(timestamp)&quot;]                                        </td><td style=\"text-align: right;\">    10</td><td style=\"text-align: right;\">         77.6193</td></tr>\n",
       "<tr><td>train_func_00002</td><td>TERMINATED</td><td>     </td><td style=\"text-align: right;\">          64</td><td style=\"text-align: right;\">   0.454974</td><td style=\"text-align: right;\">0.00968517</td><td style=\"text-align: right;\">            32</td><td style=\"text-align: right;\">            64</td><td>[&quot;DAY(timestamp)&quot;, &quot;IS_WEEKEND(timestamp)&quot;, &quot;HOUR(timestamp)&quot;, &quot;WEEKDAY(timestamp)&quot;, &quot;IS_AWAKE(timestamp)&quot;]         </td><td style=\"text-align: right;\">    10</td><td style=\"text-align: right;\">         70.2947</td></tr>\n",
       "<tr><td>train_func_00003</td><td>TERMINATED</td><td>     </td><td style=\"text-align: right;\">          64</td><td style=\"text-align: right;\">   0.336936</td><td style=\"text-align: right;\">0.0089047 </td><td style=\"text-align: right;\">            16</td><td style=\"text-align: right;\">            16</td><td>[&quot;WEEKDAY(timestamp)&quot;, &quot;HOUR(timestamp)&quot;, &quot;IS_BUSY_HOURS(timestamp)&quot;]                                               </td><td style=\"text-align: right;\">    10</td><td style=\"text-align: right;\">         61.669 </td></tr>\n",
       "<tr><td>train_func_00004</td><td>TERMINATED</td><td>     </td><td style=\"text-align: right;\">          64</td><td style=\"text-align: right;\">   0.379253</td><td style=\"text-align: right;\">0.00644577</td><td style=\"text-align: right;\">           128</td><td style=\"text-align: right;\">            32</td><td>[&quot;MONTH(timestamp)&quot;, &quot;IS_BUSY_HOURS(timestamp)&quot;, &quot;DAY(timestamp)&quot;, &quot;HOUR(timestamp)&quot;, &quot;IS_AWAKE(timestamp)&quot;]        </td><td style=\"text-align: right;\">    10</td><td style=\"text-align: right;\">        100.657 </td></tr>\n",
       "<tr><td>train_func_00005</td><td>TERMINATED</td><td>     </td><td style=\"text-align: right;\">          64</td><td style=\"text-align: right;\">   0.334418</td><td style=\"text-align: right;\">0.00975357</td><td style=\"text-align: right;\">            32</td><td style=\"text-align: right;\">            64</td><td>[&quot;WEEKDAY(timestamp)&quot;, &quot;MONTH(timestamp)&quot;, &quot;DAY(timestamp)&quot;]                                                        </td><td style=\"text-align: right;\">    10</td><td style=\"text-align: right;\">         80.5264</td></tr>\n",
       "<tr><td>train_func_00006</td><td>TERMINATED</td><td>     </td><td style=\"text-align: right;\">          64</td><td style=\"text-align: right;\">   0.243985</td><td style=\"text-align: right;\">0.00529687</td><td style=\"text-align: right;\">            32</td><td style=\"text-align: right;\">            16</td><td>[&quot;WEEKDAY(timestamp)&quot;, &quot;DAY(timestamp)&quot;, &quot;HOUR(timestamp)&quot;, &quot;IS_AWAKE(timestamp)&quot;, &quot;IS_WEEKEND(timestamp)&quot;]         </td><td style=\"text-align: right;\">    10</td><td style=\"text-align: right;\">         62.412 </td></tr>\n",
       "<tr><td>train_func_00007</td><td>TERMINATED</td><td>     </td><td style=\"text-align: right;\">          64</td><td style=\"text-align: right;\">   0.226871</td><td style=\"text-align: right;\">0.0012887 </td><td style=\"text-align: right;\">           128</td><td style=\"text-align: right;\">            32</td><td>[&quot;DAY(timestamp)&quot;, &quot;IS_BUSY_HOURS(timestamp)&quot;, &quot;IS_WEEKEND(timestamp)&quot;, &quot;WEEKDAY(timestamp)&quot;, &quot;IS_AWAKE(timestamp)&quot;]</td><td style=\"text-align: right;\">    10</td><td style=\"text-align: right;\">         93.907 </td></tr>\n",
       "<tr><td>train_func_00008</td><td>TERMINATED</td><td>     </td><td style=\"text-align: right;\">          64</td><td style=\"text-align: right;\">   0.452725</td><td style=\"text-align: right;\">0.00825144</td><td style=\"text-align: right;\">            64</td><td style=\"text-align: right;\">            64</td><td>[&quot;WEEKDAY(timestamp)&quot;, &quot;IS_BUSY_HOURS(timestamp)&quot;, &quot;MONTH(timestamp)&quot;, &quot;IS_AWAKE(timestamp)&quot;, &quot;DAY(timestamp)&quot;]     </td><td style=\"text-align: right;\">    10</td><td style=\"text-align: right;\">         70.9098</td></tr>\n",
       "</tbody>\n",
       "</table><br><br>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "best log dir is  /Users/liuruolan/ray_results/automl/train_func_7_batch_size=64,dropout_2=0.22687,lr=0.0012887,lstm_1_units=128,lstm_2_units=32,selected_features=[\"DAY(timestamp)\", \"I_2020-06-11_15-51-279965a071\n",
      "The best configurations are:\n",
      "selected_features : [\"DAY(timestamp)\", \"IS_BUSY_HOURS(timestamp)\", \"IS_WEEKEND(timestamp)\", \"WEEKDAY(timestamp)\", \"IS_AWAKE(timestamp)\"]\n",
      "model : LSTM\n",
      "lstm_1_units : 128\n",
      "dropout_1 : 0.2\n",
      "lstm_2_units : 32\n",
      "dropout_2 : 0.22687111910909824\n",
      "lr : 0.0012887000310535537\n",
      "batch_size : 64\n",
      "epochs : 2\n",
      "past_seq_len : 10\n",
      "Training completed.\n",
      "CPU times: user 20.8 s, sys: 5.84 s, total: 26.7 s\n",
      "Wall time: 7min 6s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "# you can specify the look back sequence length with a single number or a range of (min_len, max_len) in recipe.\n",
    "look_back_multi = 10\n",
    "pipeline = tsp.fit(train_df,\n",
    "                   validation_df=val_df,\n",
    "                   metric=\"mse\",\n",
    "                   recipe=LSTMGridRandomRecipe(\n",
    "                              num_rand_samples=3,\n",
    "                              epochs=2,\n",
    "                              look_back=10,\n",
    "                              training_iteration=look_back_multi,\n",
    "                              batch_size=[64]))\n",
    "print(\"Training completed.\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "metadata": {},
   "outputs": [],
   "source": [
    "# test\n",
    "# predict test_df with the best trial\n",
    "pred_df = pipeline.predict(test_df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>timestamp</th>\n",
       "      <th>value_0</th>\n",
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       "      <th>value_2</th>\n",
       "      <th>value_3</th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2015-01-10 17:00:00</td>\n",
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       "      <td>22934.585938</td>\n",
       "      <td>24529.179688</td>\n",
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       "      <td>2015-01-10 17:30:00</td>\n",
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       "      <td>26169.644531</td>\n",
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       "      <td>26386.738281</td>\n",
       "      <td>26540.681641</td>\n",
       "      <td>26222.671875</td>\n",
       "      <td>25465.779297</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2015-01-10 18:30:00</td>\n",
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       "      <td>26856.648438</td>\n",
       "      <td>26507.175781</td>\n",
       "      <td>26015.634766</td>\n",
       "      <td>25392.861328</td>\n",
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       "      <th>4</th>\n",
       "      <td>2015-01-10 19:00:00</td>\n",
       "      <td>27349.445312</td>\n",
       "      <td>26599.843750</td>\n",
       "      <td>25986.837891</td>\n",
       "      <td>25524.503906</td>\n",
       "      <td>25157.457031</td>\n",
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      "text/plain": [
       "            timestamp       value_0       value_1       value_2       value_3  \\\n",
       "0 2015-01-10 17:00:00  21104.164062  22934.585938  24529.179688  25550.427734   \n",
       "1 2015-01-10 17:30:00  23720.382812  25002.316406  25913.042969  26169.644531   \n",
       "2 2015-01-10 18:00:00  25945.230469  26386.738281  26540.681641  26222.671875   \n",
       "3 2015-01-10 18:30:00  27144.835938  26856.648438  26507.175781  26015.634766   \n",
       "4 2015-01-10 19:00:00  27349.445312  26599.843750  25986.837891  25524.503906   \n",
       "\n",
       "        value_4  \n",
       "0  25832.960938  \n",
       "1  25732.523438  \n",
       "2  25465.779297  \n",
       "3  25392.861328  \n",
       "4  25157.457031  "
      ]
     },
     "execution_count": 90,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pred_df.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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CgYBRvr8liAjZ2dlmtMNgMBgMBkObYRRwG6N8f3sw19pgMBgMBkNbYhTwE5BVq1bx3nvvHVcZ6enpcalLvMoxGAwGg8Fg+LZgFPATkHgo4AaDwWAwGAyGtsEo4O2ESy+9lJEjRzJkyBAef/zxxvXLly+noKCAvLw8zjvvPLZv385f/vIX/vjHP5Kfn8/bb7/N1KlTWbp0aeMxDVbpuro6zjvvPAoKChg2bBgvvfTSQXJjmTVrFo888kjj7zlz5nD//fcfUTmrVq1iwoQJjb9vuukmFi1aBMDatWs566yzGDlyJOPHj6e0tBSAP//5z5x66qkMHz6cH/7wh0d/0gwGg8FgMHxrUQqeeQZCobauydGT0FT0JyLTp8P69fEtMz8fHnyw5X0WLlxIp06d8Pv9FBYWcvnll2NZFtOmTWP16tX07duXyspKOnXqxM9//nPS09OZMWMGAAsWLGi2zOTkZF544QUyMzMpLy9n9OjRTJw48ZA+0FOmTGH69On84he/AOC5557jP//5z1GXE0s4HObmm2/mpZdeIicnhyVLljB79mwWLlzIvHnz2LZtG0lJSVRXVx+2LIPBYDAYDIYGXnkFrrkGiorgnnvaujZHh1HA2wl//vOfeeGFFwAoKSmhuLiYsrIyzjzzzMZweZ06dTqqMpVS3HnnnaxevRqHw8GuXbvYu3cv3bp1a3b/ESNGsG/fPnbv3k1ZWRkdO3akd+/ehMPhoyonlk2bNrFhwwbGjRsHQDQapXv37gAMHz6cq6++mksvvZRLL730qNpmMBgMBoPh202D7W779jatxjFhFPADOJylOhG8+eYq3njjDd5//31SU1M5++yzjypMnsvlwrIsACzLImSPxTzzzDOUlZWxdu1a3G43ubm5hy33iiuuYOnSpezZs4cpU6YccTmxdQAatyulGDJkCO+///5Bsl577TVWr17NK6+8wty5c/n8889xucwtaTAYDAaD4fB4PPr/ieiCYnzA25hoFNavryE1tSOpqakUFRXxwQcfADB69GhWr17Ntm3bAKisrAQgIyMDr9fbWEZubi5r164F4OWXXyYcDgNQU1NDly5dcLvdvPnmm+zYseOw9ZkyZQqLFy9m6dKlXHHFFUdczkknncTGjRsJBoNUV1fz3//+F4BTTjmFsrKyRgU8HA7zxRdfYFkWJSUlnHPOOdx3333U1NRQV1d3TOfQYDAYDAbDtxdb7TmhMObGNqasDEaNuoBly/7C4MGDOeWUUxg9ejQAOTk5PP7440yaNAnLsujSpQuvv/46F198MZMnT+all17ioYceYtq0aVxyySXk5eVxwQUXkJaWBsDVV1/NxRdfzLBhwzjttNMYNGjQYeszZMgQvF4vPXv2bHQVOZJyevfuzQ9+8AOGDh1K3759GTFiBAAej4elS5dyyy23UFNTQyQSYfr06QwcOJBrrrmGmpoalFLccsstdOjQIV6n1WAwGAwGwzccn0//PxEt4CYVPfDll18yePDgNqnPjh1aCe/YEfr1a5MqfCtpy2tuMBgMBsM3leeeg+99D45y2tox8ac/6eAZ48bBihWJl3e0mFT07YRAAD7+GPbtg0hEr2votcW4TxsMBoPBYDCccGzfDlOmwLXXto68Bs/VE9ECbhTwVsR24ebrr8F26270WzIKuMFgMBgMhhOZqir9f/Pm1pHX4ILS8P9EwijgbUQwqP8bC7jBYDAYDIZvAmVl+n9reTc3WMAbFP8TCaOAtxEOh1a6G1xRjAJuaG/cfbf2rzMYDAaD4UhoUMBbS6dpUMBjAsOdMJgoKG2Ew9GkfINRwA3tC58PfvMbvXzrrW1bF4PBYDCcGOzbp/+3lk5zIkdBMRbwViT2hnQ4dAxwAKfTKOCG9sXKlW1dA4PBYDCcaDRYwI8il+BxYSZhGo6IoOWHbuvB5W90QcnKKuPkk9ful0XyeFm1ahUTJkwAdGKeefPmHXLf6upq5s+ff9Qy5syZw/3333/MdYx3ObGsXbuWYcOG0b9/f2655Ra+baE248HOnfp/Skrb1sNgMBgMJw4NFvCystYxLDangN93H2zZknjZx4tRwFuRetkLjgik7Wu0gGdn78bhULjd/sNOWog2mMyPgokTJzJr1qxDbj9WBbw9c+ONN/LEE09QXFxMcXExy5cvb+sqnXA0vNTMyIzBYDAYjpSKCv0/Gm2K/JZIGr5VkYj+XlVVwaxZcO65iZd9vBgFvBUJi+2s5PE1KuChUDI7duzmkkvyuPrqqxk8eDCTJ0+mvr4e0Gnmb7/9dgoKCnj++edZsWIFY8aMoaCggCuuuKIxffvy5csZNGgQBQUFLFu2rFHmokWLuOmmmwDYu3cvl112GXl5eeTl5fHee+8xa9Ystm7dSn5+PjNnzgTg97//PYWFhQwfPpy77767say5c+cycOBAzjjjDDZt2nRQ+2pqajjppJMarfk+n4/evXsTDod54oknKCwsJC8vj8svv7yxfbGcffbZNCRJKi8vJzc3F9Adj5kzZzbW6bHHHgOgtLSUM888k/z8fIYOHcrbb79NaWkptbW1jB49GhHh2muv5cUXXzzma/ZtpWFCSzSqZ7MrZbGr6O9YVjBhMv/+d/jww4QVbzAYDIYE06AQA+zdC+8/9RIvTL0jrqP8sdTWNi2HQlBfDx6PH5fr84TIiydmEuYBTF8+nfV71se1zPxu+Tx4wYMo7FmXjjBEdW/Nib4pv/pqKwsXPslZZ43lJz/5CfPnz2fGjBkAZGdns27dOsrLy5k0aRJvvPEGaWlp3HfffTzwwAPcdtttTJs2jZUrV9K/f3+mTJnSbD1uueUWzjrrLF544QWi0Sh1dXXMmzePDRs2sH69bvOKFSsoLi5mzZo1KKWYOHEiq1evJi0tjcWLF7N+/XoikQgFBQWMHDlyv/KzsrLIz8/nrbfe4pxzzuHVV19l/PjxuN1uJk2axLRp0wC46667WLBgATfffPMRnb8FCxaQlZXFRx99RDAYZOzYsZx//vksW7aM8ePHM3v2bKLRKPX19WzatIlevXo1HturVy927dp15BfLANgKuESJRIVg0MHuN5/h65RrqSxZzbBxTyREZkPiBuMxZDAYDCcmPh+43TrHyd694Pj8cTpO/Rcr/57E966bE3d5NTVNy6GQln/ttb/h6qvnUVf3OenpQ+MuM14YC3gr4lRRTq4CFxGUAitkkezUSnnPnl0ZM2YsANdccw3vvPNO43ENCvUHH3zAxo0bGTt2LPn5+Tz55JPs2LGDoqIi+vbty4ABAxARrrnmmmblr1y5khtvvFHXxekkKyvroH1WrFjBihUrGDFiBAUFBRQVFVFcXMzbb7/NZZddRmpqKpmZmUycOLFZGVOmTGHJkiUALF68uLHuGzZs4Lvf/S7Dhg3jmWee4Ysvvjji87ZixQqeeuop8vPzGTVqFBUVFRQXF1NYWMjf/vY35syZw+eff05GRsYRl2loGa8XmJ4LP/0OtbWwde1rAJSHX2jTehkMbY1SMGMGrFvX1jUxGNofdXXQr59e3lRcDr30hKLasn8lRF5tLaSl6eVgUCvgw3tp/WJXyaMJkRkvjAX8AB684MGElBsMKjoGLDr5ISIKb7KFFVaQpP26HSJEolE8OAEQkcZj0+y7SynFuHHj+Mc//rFf2Q3W63iglOKOO+7ghhtu2G/9gw8e2XmZOHEid955J5WVlaxdu5ZzbUesqVOn8uKLL5KXl8eiRYtYtWrVQce6XK7GYapAzBRqpRQPPfQQ48ePP+iY1atX89prrzF16lR++ctfMm7cOHY2zCAEdu7cSc+ePY+o7oYmarxR6L0TsnZSU6NwdLHvseQqLCuCwxHfV8cxTG8wGNoEnw/+8Ad4+OHWi/RgMJwo+HwwaBAUFcG2tR8yeNxuAJIy45+qMhjUf926abmhENR5FcNSSwGo2fEZDI672LhhLOCtRK03itN2gUqOgKWiqIgCp9Y8Snbu4e3V/wXg2Wef5YwzzjiojNGjR/Puu++yxZ7e6/P52Lx5M4MGDWL79u1s3boV4CAFvYHzzjuPRx/VPcJoNEpNTQ0ZGRl4YyLYjx8/noULFzb6lu/atYt9+/Zx5pln8uKLL+L3+/F6vbzyyivNykhPT6ewsJBbb72VCRMm4HTqDoXX66V79+6Ew2GeeeaZZo/Nzc1l7dq1ACxdunS/Oj366KOEw2EANm/ejM/nY8eOHXTt2pVp06Zx/fXXs27dOrp3705mZiYffPABSimeeuopLrnkkmblGQ7NnkgRf3kFXv1nT75esx1nj52oQBLisAgGdx6+gKPkUGmEo1F/3GUZDMeD374lg4mbDmEwnLDU1UGvXtoNJbhvF+SUA+DpWBF3WV4vkLmT8kvGQvZm7YKyMwTdtQJeX7897jLjiVHAW4lQJIpT3KwbMICqDjlYRCAaAYfCCrsZMOAkFjz+FwYPHkxVVVWjq0gsOTk5LFq0iCuvvJLhw4czZswYioqKSE5O5vHHH+eiiy6ioKCALl26NFuHP/3pT7z55psMGzaMkSNHsnHjRrKzsxk7dixDhw5l5syZnH/++Vx11VWMGTOGYcOGMXnyZLxeLwUFBUyZMoW8vDwuvPBCCgsLD9nWKVOm8PTTT+/ni37PPfcwatQoxo4dy6BBg5o9bsaMGTz66KOMGDGC8vLyxvXXX389p556KgUFBQwdOpQbbriBSCTCqlWryMvLY8SIESxZsoRb7Ywx8+fP5/rrr6d///7069ePCy+88IiukaGJMvmMweHhTPjz07y4YTWk+/Bu1b503tL4x3eKnbjTQCi0l7ffTmXHjnvjLs9gOFbq64HkahjcNNn907kPs2HJ3VhWuO0qZjC0A+rqICMDunaFTinaQTtY3hVXx3KidTWHOfroqKkBvnc7vk7vwdB/EAxCYKcfuu4FQKXvRan2G8pLvm0xkk877TTVEGmjgS+//JLBgxM7TvH17npc/hJ2d+kBQOZeiwzlIL3bJrZuquaqa2/grf/+l5zuuQmth0HTGtf8RKb3ZX9mfL+veXH0BB6a/wXdf3UTm/47jlPOe50O9b8j//sz4ypv82Y45RS93PBKqq39kHXrRgNw1lnWfm5ZBkNbUVQEg+87G3LfovR/S+kU7MB7n+uA+cNOXUF2l3FtW0GDoY2wLJ1Y8Fe/gv/8B64+5TcM+/Hd7P1sDF2Hv08OzzDk7KviJu+TT6Dw0RHM+Go9j7h/zLv3LWTjsxvodsEwQnt64+lWwne+swePp2vcZB4tIrJWKXVac9uMBbyViKoolsOFKwLuELgsP8phW0saOmgm6LKhnZDh3836fqfywC+hu0tHkVlXmgNA+d6iuMtrzgIeDjcNWQYC2+Iu02A4Furrgdy3ANjn20fRyncbt1Vt3NBGtTIY2p76esDl5x+ucSQPfJcsp/bXqqk8GYCvijfHVV5tLVyycw/z/gtzv15OMAhef4mWuS8XgNKt7Xe2tFHAW4moimKJh35b4aQd4JQwDtERUE7q2ZsPP1wCfLtGIwztl5z63WTty6ZPCXw1vphw1MXaLadC0EOgrizu8ppTwAPVexuXK75+5+AdDIZmqKv7dL/OW7zx+RQTi6B2LqgXX2TL1pWN23bt+LiFI4+dxx6DgoKEFG0wxI26OiB3FcXWG2ztM4Msh3Y58YV0WJTaivg+l7W1kORSXHrPPRQXFhIKQSSqDUYue6rSts8+i6vMeGIU8FbCUlHESgLAaYHTcuLAjoDi9AAgYhRwQ/uga3AvGVU6rOOg9NewtlsUl+ShajOxqD3M0UdPcwp4xYfbG5eLP1l58A4GwwFYVoSPP85n/frzEiaj3FtLL+fp5Lz8H/5YDm7HWqK1WagdfagPb02IzJ//XA+3m0FSQ3vG5wNy3yLbB+fuTCfDXYkVdqOStbtnKOBtuYCjpKYGnB1689IZZ/Dw1P8hGFQ41R4AAvuqAaitKG+piDbFKOCthKWioJxgx/12WW4cot+mjpRUsMQo4IZ2gVKQ4grRc5eDQJqP+pP9vO3rQm3NyVh1mTjczWjLx0msAm4Hu6Fy0zaUJaiKTnirdsddpuGbQ219gEjUoux9Pdzs832aMFlldVV4uwzh3js9jFz8XdK6FVFf0o9gRa+nL6MAACAASURBVA8cqXsPX8BxEBstqKoKJk0Ck2fM0F6oq4Pkjp+z5c9w+r7eODpWEvJn0r23DrygovGN21nns0h1pnPN3+HBW2Gvv5Y02QdAtdMNgL++Mq4y44lRwFsLK4LbFUSd/BWR9HrEcuKwXU5cyWmoqBMRY94wtD3hMDgyhN4lUDFqLS43rN42Auq7EanPxOmJfzzXWAW8QcmIqGoigQwi3o44HNVxl2n4ZhCOhpkxJYWfTf0RxQ8uT7i8cm8lytmVgk9g2PY6HH12UF3alUAgA2dKfC18BxKbdvsPf4AXXoC//jWhIg2GI8bng1OCpezsnstTZ10JnctxuXMYf2F/ABzO+Mbu9IXqcTk78tOFkPcZVGwqJtVdjbKE8EDt9mJFEvtMHg9GAW8lRFmoQCpEXDhy9uKwmhRujzsJLCfiMAq4oe0JBIB0N133QnTkB0QVrHvvMvp06UDYn44zJUEW8PRScNc3Wfk8XkKBTMK+DriS4u/2Yvhm8I9PlnG2/zy+PHUakQ6bGteHQokZevZW78Zd3weAVT//EoCt0X0EA8k402pJZGSx2LTbJV9t51cdZtMlwUq/wXCk1NVB/0AF/2/6dL7znhvVu4T07IF06paOqk/B446vAl4b8JIU7NP42/VeCSmeGqz6VIZfcA0qkIxL2m/AfqOAtxJiRXGGHVi+Djg8IVxEcdjhTxziRFmORpeU42XVqlVMmDABgJdffpl58+Ydct/q6mrmz59/1DLmzJnD/ffff8x1jHc5scyePZvevXuTnp4e13K/LQQCYKUlkR2qxXPyFnb4wPf55Yw/30EokIYzLf4f/LW1/4YZPeCSHzcq4I5UL8FgOhFfOs7U+MaPNXxz+HjN2yw//XR+shCCpzZFWQgGSxIiL1i9m+QanWth3zlfEMVBJBQlGEpGPGGi0fiPEDUQawGfeO65DH3kKbq+fmfC5BkMR0MgAN0EdqflceF/65Cccrp10RH4LF8GnuT4JlbzhuqQSLemFbuiJKdVYdWmMfDk07B86bic7TeZm1HAWwlRFiBYER0v1pVah0MslAIRB0o54DAW8Ogx5OueOHEis2bNOuT2Y1XA2zMXX3wxa9asaetqxJVoURE3zfhfbnz7bfz+bWzYcDnhcGJ82wIBGHBKKZnPXEK3QcVs+XIM+Dtx/vkQCqTgSPPG3cq3MfQvvTD0ObaUlWCFLRzptUT9KQQDaTjTjQXc0DxW8S4+75nPgC2Q2usLgpWdAQjW7kuIvHDtHjy+DMLZFUxiMVXlXfEMGU4ooifT+2v3JEQu7K+AJ/coJb1HOQ9dcFLC5BkMR4PfD52cKXzvDZAeet5OaupAAKK+dDxJ9XGV5wt7IdoJAEsgZV8aZFcQqfWQk5qD5U/D5U5ch/h4SZgCLiK9ReRNEdkoIl+IyK32+jkisktE1tt/34855g4R2SIim0RkfMz6C+x1W0RkVsz6viLyob1+iYh4EtWe40Ww+PokCHVOJhzyQOcycIXBcrB9+3ZOH3sR035+O4MHD2by5MnU1+sbNTc3l9tvv52CggKef/55VqxYwZgxYygoKOCKK65oTBm/fPlyBg0aREFBAcuWNWVoW7RoETfddBMAe/fu5bLLLiMvL4+8vDzee+89Zs2axdatW8nPz2fmTJ1c5fe//z2FhYUMHz6cu+++u7GsuXPnMnDgQM444ww2bWoa6m2gpqaGk046Ccuequ/z+ejduzfhcJgnnniCwsJC8vLyuPzyyxvbF8vZZ59NQ5Kk8vJycnNzAd3xmDlzZmOdHnvsMQBKS0s588wzyc/PZ+jQobz99tsAjB49mu7dux/7xWqH/HHJg7w+4GK6z46yduUPKC9fRlnZPxMiKxiEbtlNVu4tH00GoLAQAsFkxGkRicTXIp295zMGdfk10m0iO2q2EamKQGYtls9NMJCMI7Uey2q/Q4mGtiNp5x6yd3eGrGqiOX682/Wzv+eLLxMiL1xfxrirpqF+8ytcqSHOv6uUSKexhKJ60lfF7p0JkQtNCrjfHyUlOUAKATw5xo5maB/4/BGcnkx67QQ5XT8Hqal6AmbEn4Y7Ob7ui3WhOhzhTAC29ovSa3sKdC4nXKNwO91EA2m427EC7kpg2RHgf5VS60QkA1grIq/b2/6olNrP70BETgV+CAwBegBviMhAe/MjwDhgJ/CRiLyslNoI3GeXtVhE/gL8FHj0uGo9fTqsX39cRRxEfj5y080AOB0OvIEUOmWGIMOLsvQlKN66jYcfvotzv3ctP/vZz5g/fz4zZswAIDs7m3Xr1lFeXs6kSZN44403SEtL47777uOBBx7gtttuY9q0aaxcuZL+/fvvlwI+lltuuYWzzjqLF154gWg0Sl1dHfPmzWPDhg2st9u8YsUKiouLWbNmDUopJk6cyOrVq0lLS2Px4sWsX7+eSCRCQUEBI0eO3K/8rKws8vPzeeuttzjnnHN49dVXGT9+PG63m0mTJjFt2jQA7rrrLhYsWMDNN998RKdvwYIFZGVl8dFHHxEMBhk7diznn38+y5YtY/z48cyePZtoNNqsUv9N4ZO92/nZyzDy8xARt47wsHvDS/ToMS3usgIBiNR2bPy9du33AOjTB4JhJwDh+mrcWR3iJnPKuiJu/96vSco4k2p/NVX7Avr52C74g7pfHazbS0pmn8OUZGhrlFL4olHSXYn8vDTh9IXpvdOB1X8LDuCzykzOBWqqEhMexOEoJy3na8gBXwB+OhyW3jyMX4/XxoOqXdvIHXp2QmQ3+ICXlJThsPXuW9/cBNcmRJzBcFRU1tfgT+3EKbsgafKX4MwgLW0ooEdP0zP3oKJRxOmMizxfuJbk+hQiU5+ix7mrcc78LWRXUPOlbRW3svCkJGYkLB4krOuslCpVSq2zl73Al0DPFg65BFislAoqpbYBW4DT7b8tSqmvlFIhYDFwiei81OcCS+3jnwQuTUxr4oEesnc4HHhJQkWcIGBZ+kbs2aM7Y74znEgkyjXXXMM77zQlHmlQqD/44AM2btzI2LFjyc/P58knn2THjh0UFRXRt29fBgwYgIhwzTXXNFuDlStXcuONNwLgdDrJyso6aJ8VK1awYsUKRowYQUFBAUVFRRQXF/P2229z2WWXkZqaSmZmJhMnTmxWxpQpU1iyZAkAixcvbqz7hg0b+O53v8uwYcN45pln+OKLL474zK1YsYKnnnqK/Px8Ro0aRUVFBcXFxRQWFvK3v/2Nu+++i08/XUdGRsYRl3micfHZ6xn2vT/y8bWfgycMllBd93lCZPn9imT7/dhV7uOrr4bzox+BCIQs/cqo3Be/ZDxKKYp6d2FJ/VRe+s8j1NTVsLW0EtLqsbwWgbCW6Strv/FcDU0s/fxzMt55h/VVVa0iL+J00bsEvMN0FsriXdkA1PsT8+F1uZtGfz6ohaVDgLIh7K3WeR685fG3gIvo/w0W8N1bm/zbUwZsIHwM7okGQ7yp9lfjT+1Ij93AyZ+SlTUWEf0xCQVTcKbVUlMTv9HTaLCKTOXHdd3fSOu9FebMAVeUUoc22liuTjhT64gmcGL08dAqJgoRyQVGAB8CY4GbRORa4GO0lbwKrZx/EHPYTpoU9pID1o8CsoFqpVSkmf2PnQcfPO4immXrFkBbwB3KQbCyO8kZFUTCnQE/IgIC0bBujjS8cYG0tDRAKyrjxo3jH//4x35Fr4+jxV4pxR133MENN9yw3/oHj/C8TJw4kTvvvJPKykrWrl3LueeeC8DUqVN58cUXycvLY9GiRaxateqgY10uV6P7SiDQFC9UKcVDDz3E+PHjDzpm9erV/POfjzB16tXMmHEX116beFOQUopPtqwhItmc3r9/wuVFrSjduuyFC18m6ZMkojio/+hsUk9NTNY9nz9CktOCfTn0HXMLu3dDZ+1W2zjMXrtnNwyIj7zqQDWB5GFI7j/w5O7AuWI8e12ldOwBeCOEI/rlWV1dSef4iDQkCKUUrz+5iP97dyJrUz8lf+XZCZVXVQXh1FR6F0Ho/C8pD8Lu7cOh7r8JmyPhiQml9uhWQAkEM9lXlwxAvTf+scAdDohGmxTw6ve+oMN5ENzbm6RBX1L+dQXd+3aJu1yD4WioDlSDdCcpGiGasY309CsatwVDSUhGLft2ldOhU6f4CAxU0ilFfx9qtnQha5B2jf063Z4X4eiApHuprguRnZEUH5lxJOHOYyKSDvwTmK6UqkW7iPQD8oFS4A+tUIeficjHIvJxWVn802gfWSX0P6fDgVOc7El3Et7VC0nWyvXOXbv58MPPiIbDPPvss5xxxhkHFTF69GjeffddtmzRyrzP52Pz5s0MGjSI7du3s3WrzsJ2oILewHnnncejj2oPnWg0Sk1NDRkZGXi9Tf6+48ePZ+HChY2+5bt27WLfvn2ceeaZvPjii/j9frxeL6+88kqzMtLT0yksLOTWW29lwoQJOO2hJq/XS/fu3QmHwzzzzDPNHpubm8vatWsBWLp0aeP68ePH8+ijjxK2M7Rs3rwZn8/Hjh076Nq1K1OnXsa1117KunXrmi033pTs/hu1u0Zzw+Y32B1MvF9yTbDJYtCrxwdsoT9Vvu440rxYVqSFI48Nrz9EkjsMdel4unro3h3cWu8mjLYs1FXG7znyhrxkR3s3/k7+upZAlbZeBv0QCunXVJ2vdSyqhmOnsnYvEZXB6A+h35sQKgslVF5NDXQfXk3/Bybi6VXK1pJ+VFZ3g5osVAIytgKkO/TL/LXH76EiBN2C3yUrC3bXal/UUCC+8yPCYa18Q5MCHvTtAGBzeAh0qqJ8i8nGY2h7aoLVhCUHuu0BiZCS0mSlCYSTwWlRviN+96ojUEsK+hv8Wrm7cX21R/udi7MDpNVTuS/+oXPjQUIVcBFxo5XvZ5RSywCUUnuVUlGllAU8gXYxAdgF9I45vJe97lDrK4AOIuI6YP1BKKUeV0qdppQ6LScnJz6NO2r0S9vhcOAihWB0B191LSYlRUdF6dfvZJ544nlOG306VVVVja4iseTk5LBo0SKuvPJKhg8fzpgxYygqKiI5OZnHH3+ciy66iIKCArp0ad4S8qc//Yk333yTYcOGMXLkSDZu3Eh2djZjx45l6NChzJw5k/PPP5+rrrqKMWPGMGzYMCZPnozX66WgoIApU6aQl5fHhRdeSGFh4SFbOmXKFJ5++un9fNHvueceRo0axdixYxk0aFCzx82YMYNHH32UESNGUF7e5G5w/fXXc+qpp1JQUMDQoUO54YYbiEQirFq1iry8PM4442qWLXudW2+9FYDbbruNXr16UV9fT69evZgzZ07Ll+Yo2fTZAgD++PdP+PfvE5dxr4FKX9NQeseuJeT/ew9S40YcinA4/h1Knz+E2x0k4k/D4dn/FRFxaStCVVn8rHz+sJ9O0iSne8VeIpU6kkRd2EUwqrcFve03o5lBs337elw1/Rp/b12auIggAL56i/z8zUiGl6xeJWxdM5ma+nQsbybiSowCnmY7X/sCg+lYeyYjShbQrRvURrMh6MGy4humMzb7ZUOWWFE6wkR5pZ5wWlaSmAmnhm8AlkW510vISnyekfqwH0ckC3o1TMAc2LgtGNUjRBV74ueiJdF6PG499+u96uzG9S7XEP0/Sc9lqq5on37gCXNBsX20FwBfKqUeiFnfXSlVav+8DNhgL78MPCsiD6AnYQ4A1qA11wEi0hetYP8QuEoppUTkTWAy2i/8OuClRLXnuLGtJk4RkiStcbXLthC7nC7++td7CPt60albU1zL7du371fMueeey0cffXRQ8RdccAFFRUUHrZ86dSpTp04FoGvXrrz00sGn6Nlnn93v96233tqozMYye/ZsZs+efYgGNjF58uSDwtTdeOONzXYqYpXjQYMG8dlnnzX+/u1vfwvoTsu9997Lvffeu9+x1113Hddeew11dZ8AkJ6uJ+j97ne/43e/+91h63ms1O8JkNUXyCmjy4N1qDsV4pDDHnesVFRu2+/3o+n1jK7VinAouIekpPhGfKkLBOmY5CdSd3BHLurU926gLn7WaH/ET3JGk5bRKXMPvjrtz+915+APa8tGqK4ibjINiWHXjg2c1LkGcpLxdg4QXp7O4BsTN3G2vNZLXUV3UtP0qODWrXn4/ClEgmk40hJj9Up16XdbWPVl4LtvoTpCRgao9G4oXxoi8Y264PPB1Kl3c8UVD/DKK1q5dyXtwwom46/UBpyaim0tFWH4FlN9660UFF7Or19N5donR+JMic8EyOYI+b04Q2nQayMAKSlNCnjA0nk5fJVxnMujArhdehS4xtv0verVQXsju1O0q4uvqn3OH0qkD/hY4EfA5yLS4KR8J3CliOSjZyVuB24AUEp9ISLPARvREVR+oZSKAojITcB/ACewUCnVMIPvdmCxiPwW+ASt8LdPbJ9uhwhOceuglYEONEwGblBXVSv0Ur9JRKNNLhjBcB3JnoMnlsabGitKFhDutYeMCgd7Xi6n+6WJG1kpK9lCesw7czldyQtra4K/ajcZmSPiKq/OH8SZFsAfST1om+XRinEkFD/roj/sJymjqbyk/jsJRbWiX+MYQFBpN4ZowKSjb+/s3bWZsRc+ARdCBhB9/WK0bSUxVNR5oV5/2IOBFDZsGIvPvY1IJAmnMzEdthT7qxn1dKG6GlwurYB7uvfE8qchrjjHOvbBddf9BgAdzyADT1o1YW9HlE9b48Mh44JiOJiIFeFve/bwm19Bbu1OPnp1BlaKk+9MeDMh8qS+iuRoBgz/DLcrB7e7ySoddOlvc9gXv5FMIYTHrb8P4UAO164BfxTmnaYV8JSMzgSBQG37NN4kTAFXSr1Do+fzfvyrhWPmAnObWf+v5o5TSn1FkwtLu0UpcEXCZPp8ONPTtdK9qwAA58na9/mN11cCpaDMbPajwe8PNy4HqstJ7pJ4Bdzh19qwGvwZe7oqmLc9oQp4RekO0ntB9Y4BvOspZu+O3vjD2he7vno3xDkPR8Dnw9nZRyB6sAKuknXoQSuO2f78ET+uFD3ptn7zcNz9dpC8Mw2rPpX6zOEovx4kC4dNyu32Tk116X6/neNeoXr3J3ToEd9OYgO19X46uiJYG0/l+zd/imW5oEslkWgSbldi5md4PFGIOvCkd6a6GpKSIDcXTh6YQzSQitMVOGwZR4O3qskok+T5GhiCO6OaYKADHhoiP7VPBcPQtmzYt4ENffrzo6XAnD8RyNG5Msr2fEhOt1Fxl+eor+I7F86H3l+Qln7efsEkIm574qUVP+ONSBSXRz/nVrArJXbSy+G9tO95WmZngrXtd/TURPBvBZSCNL+P3NLdOEXQ4XEFkMbwUkoaTJzGAn40BANNH9lgK/Vd3EpfI0+GDx7+BZw7m31FqxImz7dPD599+cZ13P/YHFj2NAE7HKAvAX7RoTovkuwnLAfPGndkddGjN8QvvW/AV4tDFMpyUFfRA1enCpI7lBIq64ar2ylEXckQdRANn/jZMDdvvony8sRZhNsaFW2y/n62bTyE3Oze+mTC5NXU1+PyBIgE07TyDRBNIRp24/AkSAF3R1DeDDI6eaipAa9XW8BHDs0iGkzF4YmvBbyiuGmeR4ZLu5q4MmupD3Sgd3ZPVNAD0n7TbRvajqrynYSs7iAWVuFaWHkORB18/uITCZHnCtTQqbd2UIhVvgFUmu0qqeL3fCixcCXVoyLJeCzb2h5OZmAP7Y6S1VEbxiKB9jmB3yjgrYBSIEqh7Pux2fwU0jCD1yjgR4MVbbI2Oa3E+WHH4nGHUQGtnHbr/CWc/zpf75uTMHnRWt3GqCcL3robqvrhtzsBgbr4RlwAiPjqEGcUSw5+PaR36ooKJOOQ+Fn5ItUVOERBxEl1fSaODtV4em4nUNmZLhk5ONNSwJ9CVLXPmexHilJRdu9+hA0bLmnrqiQMaYhUtPQS3iv6Puw4ibq6OCc2i6HW58Od5CccjhmtiaRghT2IJ76W6AbcLgsrnETHjg4CASgv1wr4acPTiARTcSbHVxneXLO2cTnFs56QN4qzQxWWL4nsPieDPxVHnK3uhm8Gga824/DnQK+dOFJ91Gw6HfZ0I8BXCZHnCdQSrNLKb27ub/bbJml6Logzjp1FF4Kk1CORNDKUHYXaHSAzU+sC2Z10XXq52mcH1SjgrYBl6ROt7B5hc0mgxKEVcBGjgB8VMT7gbhWlIo7+ZYfC4wkR2XwqS5+GhS89BB+MSqh11hnUSo0rq8mfriYcAUsI1sXfLzrirQWnRWOqvRg6ZuagAqk4HPGzLobranFgoSwXNSW6XEd2OdV+RY+srrjTUlD1qSjVflMKHwnhcBtNBNq1qymFYoJxhfTLbU8omU6B7Vhf9SPgOPKkW0dLuKYcZ1I94WhK47qu2SlEIm4kKXDQZPDjRSk9nUdZTjrYiWAbLOBdOiURCSXhSIqvBbyybFPjsjNrJdWbfJBVg7NWkZV7ElYgBYfbKOCGg/GX7yHFmwWDdICG6Teegr+qO8603QmR5wp7cboDBN67hKysMfttS03tjoo6cDnjpww7xAWp9YiVTm7dVVB+Csnr/6fRsyAlXX8zPe3UeGMU8FZAKXAo1aiAN2cBdzidKEsQ2mfGpiNFKYtQqCzuH75DIbbPvBV14XBG2FdeRn0osSnpXUkBQqE0Pgun0Klun7bORhPnn+yxc01l9W7yM6/0RSCYRNgff7lixz0Tx8E9xQ6pmVjB5Lj6uYbqvDglioo62VLbpEhV1pXQNSuT5JQ0VCAVHO3TinGkhEKJDcnXHJ9+/RF/ufFGHpw7t1WeSUdY3zNbJIlTv96Gf8/JWEnlCUuKE66pwpHiI6KaIkt17pBMJOxBnBZKxTcOud+P7S7VpICDVsCTk4VwMBlHSnw7iqqqSVnqkFzLzuIS3UGuC9OjWw5WMAWnO/H5CAwnHv6aHfxw2kVYP3iOEG6+pg+Bqm64OpQe/uBjQYK40muxrI4HbcpITsOqT8cVR2u0iBtS63GodDJSkuDhL+mzsTHoHg5HqnZfjHNo0HhhFPBWQClw0LIC7nQ4wXJCHCzgq1atYsKECQC8/PLLzJs375D7VldXM3/+/KOWMWfOHO6///6D1odCewgGdxCJHNkH91DlHC0q6gBXBE+Vk4kXTWDQoEEMGTKEWbNmHXfZsUSsCK5kP4FIKiVJXehWW2K7RyTOOuu2Facu/ZryQAYiCgLJRK0EyPVpa4E0YwHPSskgGkyN6we/pq4eN1GU5WJ1KKaTUeojM1NIS0snGkjBcRwv7h/+UP+1JW2hgD949/n84tZf8s+M7/NBReKt4B7bbanamUGnqh3URvWk6EgkMT6YyleBJIWISFPHLTMlhUhUv2SjcZwsDOD1KsSerxCrgHfurCdjhsMeJMWPUvEbyXQFmu77zFQflTu/BkD56unZORMrkIzTWMANzeB36HwNjv5bscqS+e0jf6C+JgdnRi2RSPxHbT0Z2vil5OBMl+nJKVj+VNye+CngTqUt4E7JQCcMF2KTbIoIBNLarfuiUcBbAe0D3uSC0oxeoxVwJS26oESjRz/LcOLEiS0qoceqgB8KpcL2//hnaDyERABcrlRUUgiX5eZ/rrqKoqIiPvnkE959913+/e9/x02aL+hH3EGCysVu6U6PyhKigVSijsQ94A0hxk8+RX/xb74Z6sMOWwGPv1wVsV+QzfhKZaWkYgWTcSTF74Pv9YVwEkFZLrZ4ezWu31iXrS2LGVlYkWTEcezWzCVL9F9bUrtle+OyZYUPvWMc6Vka4Yx34J5fQdUvtx92/+PF7dI3a6U/m5pgMdVubZmORBKj/Dt92gVLuZp8wDPSXIQjiVHAK2oCOBzaAt6jR9P6/Hz9uITDTsShiEbjNwrnaXjtR5xkpNURqLAt4t46stI9WKFknAnydzec2PgjTfdFn8+89K1eTyCkn5VEjEqlpdjffU/ng7ZlpiQTDaTiiuMkZbdyQVIQpyOVVPsV0PEA47sEU4liLODfWpRSOBQo2zp0wORgtm/fznfGDOP6n93JqDMvYvLkydTX65s0NzeX22+/nYKCAp5//nlWrFjBmDFjKCgo4IorrmhMGb98+XIGDRpEQUEBy5Ytayx70aJF3HTTTQDs3buXyy67jLy8PPLy8njvvfeYNWsWW7duJT8/n5kzZwLw+9//nsLCQoYPH87dd9/dWNbcuXMZOHAgZ5xxBps2NfklNlBTU8PAgd/BsiyUsvD5fPTu3ZtwOMwTTzxBYWEheXl5XH755Y3ti+Xss8/m448/BqC8vJzc3FxAdzxmzpzZWKfHHnsMgNLSUiZefiVjx17FqO9czPvvryMj3cM5I3WIR4/HQ0FBATt3xi/z1t7KesRpEbUcWPVd2dvBS9BKQTnrEzfEb98vPXp1RCmYPh3qg25UIJmoxN/dRkW1ddvpPHioJilJiISSccTxg19bE8AlEbBcuKxM+j0CaVvg01BvOnSAlA5ZRKNuxJnYtOaJpmr91sblcLh1MrNl5KYyrc9scEZwvZ74j5DHrZ+BPWW9efrUOurtyeWJUsCtiL5XXa4kZs6EG2+E9HSINCjgkfh2UCtq/YhYKOVg+PCm9Xl5+n84qjutIV/82uuxo7tEKrqQku7FqtMjKc6aCA6HEA0l40w6sd2zvm34t/lZ8+NH+HrjYwmVo2j6PszrDJ/c9iOCSush8X42ADLswFnOtIMV8IyUFCLBFFzJ8esUOy0XOKM4nZ5GBbzPAXm/JJSG5WifCngiE/GckEwvLmZ9XXxvzCHJ6fwBsGI07z599JBlA1uKN/HQA7MZM2oE/3P7A8yfP58ZM2YAkJ2dzbp16ygvL2fSpEm88cYbpKWlcd999/HAAw9w2223MW3aNFauXEn//v33SwEfyy233MJZZ53FCy+8QDQapa6ujnnz5rFhwwbWr9eRClasWEFxcTFr1qxBKcXEiRNZvXo1aWlpLF68mPXr1xOJalG4pgAAIABJREFURCgoKGDkyJH7lZ+VlcXw4YN55511nHdeN1599VXGjx+P2+1m0qRJTJs2DYC77rqLBQsWcPPNNx/R+VuwYAFZWVl89NFHBINBxv7/7J15nFxVmf6/595be/WSdCchQCAsgQjZaIghhgADJGwSh0UjixI0DDDKMggKgzPwGxQR1AFRMi4wAQ2LbAFcoFVAAgyyGSDEQCAkgWyddHqp9a7n98e5tXR3bY1VATTv59Of7rp19773nOc853mfd9Ys5s6dy4MPPshRRxzGFf9xBuHggXRtexHDyeBl1WPd29vLo48+WrKq5weNzdtSoLl4nsDtG8PSXZ9mb6YS1Vw8L4uuR6rvZJiRY8CbQ6qFaW2FtBVFmmEI15/5Ej47qwVKAXD8Dr+ODHjCQg84OBgYXhNvvgzH3A/r5+1JayvEmptxNwYxjB3DGjcqXFlImLXt7YRCuzX8mJ+Y20/zyOdgn3fQ1+2PlHKIPVi9wjQhFHCQqSg9m/finelw0lq/aqTVmCJK0vMBeDBArvjt2WeD4wNhO5OAeP2O15PMEBQeUupoGpx/Prz+OvnO37IVuEn39RFtqc//V2jqPcwkRhNvf42ArfS7Iq3+j64VrOuM1M5obNiuy/9+6SUOuPqrrOmC3Sd+CU0LVN/wA4Q/IcW2rl24u28zvxh7EJvlMwBYvX3kbeTrFBGhntXgiKE7joeD9JphIvH6Me+GFwDdRTMM/NQlJk4cuI5wYkj9o5nAv5MB3wGRZ8CLtCejR0NLUc2Y3Xcfx6HTD0EIj7POOotnnnkm/10OUD///POsXLmSWbNmMW3aNO644w7WrVvHqlWr2GuvvZgwYQJCCM4666yS5/HEE0/ky8Hruk5Ly9CiNZ2dnXR2dnLQQQfR0dHBqlWrWL16NcuWLePkk08mGo3S3NzMvHnzSh7j1FPm8uCDv8fzLO655578ua9YsYLZs2czefJklixZwhtv1O6M0NnZyZ133sm0adOYMWMG3d3drF69munTp3P3rx7guut+yhsrV9HcNAoRSdMfbcexbU4//XQuuugi9t5775qPVS26NvchdBeJQK6ax9vxHrJSVaV03cbIUHJ4Kewz0s3NkDGb8KwIoo4Z5YVQc95GYGinEAqhEtzqaLVmJlyE4SCEQcBr4p8/D5/4Cjjp3YnHoSUeVQz4xzzRrLsoObje0ohSkXWypFPNAMizlqCfcTvZ7q1VtvrgsX69ktdJO0hi1aF8YcoXsP3ZFKunQe5EjnpWA8FwflE8Draj2lonU993sj+dRmgu0veUXbQIippqLD8JNdFfP817Lhk6lRqF0CXBkWvwPI2U7uvrzSBana0Pd0bj4hc33kjrusJzmUi80LBjhRFgG9z2q3NwJOzRsgeOo55dO1V/DXggD8CHjnrDYaGe1Why2LPF06bBRRdBz6DXKg/A9QDr1qll/sR5PjSnCc/4aGrAdzLgg+KmCRPqvs++hI1Y/epQ7UlRCCFUo655+c+5iKnsAqSUzJkzh7vvvnvAtjn2uh4hpeTKK6/kvPPOG7D8pptuqmn7446dzTX/7ya2dXXx8ssvc9RRRwGwYMECli5dytSpU1m8eDFPPfXUkG0Nw8DzfH/rbIHRkVJyyy23cOyxxw7Z5tH77+KPz/2OBeecw4VfPYfPfm4Wsj/Iueeey4QJE7jkkktqvfSaovf9PtrHu0g0WH0iD1/wOm/ecDuA74RS/4qYGiAdPf9MGAa4sgXXDiGM+k/ta76zjBEcCsCDQXCs+nb4blLAWBdNCxKUTfSEYNUoiC3fHyGgORqmzwmgfcwZ8C3ZNLnZUa8RybODoieZQqTagC7E7GUwexkb105in/avN+R4ySR5fbSdivHjY+7ke7/6dwAyDbDLBND9XJNg0XRiLAa2zw7b6fqCjEQmzWifAS8VWZ95T/fWZ8AhpcTwwX5PZhS7APpeb+MkY2zcUzHsrh1EhDINnd3YGfUJN5lg1btrmdNScO1JJF6ipWVWQ44X1iX0tbDuubOZPkHy/p8/ievcBdAQBy3DJxnD8aEzweEw2GYQEUshLYkI1fasplLw6qvqZ/Fi6PdfaSlB94JgOGi6wSc+Ab/9LUyePHB7zYvhhBtju/i3xk4GfAeE6ykGvGT2pR/vvbeeF158FTSPu+66i8MOO2zIOoceeijPPvssb7/9NgCpVIq33nqLiRMnsnbtWt55R2lMBwP0XBx99NEsWrRInZPr0tfXR1NTE4lE4UU89thjuf322/Pa8g0bNtDV1cXhhx/O0qVLyWQyJBIJHn300ZLHiMcidHQcwNe/cR2f/vSn0f1EvkQiwdixY7FtmyVLlpTcdvz48bz8sio6cf/99w84p0WLFmHniny89RapVIp169YxenQ7C84+mYULF/Lqa28iBHz/pmvp7empedAwnOjb0qMswFDX1RbYA9tRfzeKAdeEVA45RaEHW/CsMKIBBTh0vxhUsIhVzEUoBLZVX6cHzwQMB0GgqLQ2tDj7AdAaDysGPPjx1oAbspBEvSMY8Pc2ZYkYA5mmTP/6hh0vmbYVx+BrTLu6wNIVQE70bmnIMXPPaiAczC+Lx8HyGfBsnUFGJp1E01ykLN2Wmz4Dnu2vDwDPOBkMny3szY5RC/d5h/A26Bq/FwCOFUAYLq63U4byUY9nXnyAbbFdCbQV3odG5UcAhIMO9LUQHTGOF6//DvM/a+DaOZKrEQy4ei9C0TIA3ApALE22r/ZnNZ9uFusiIQv2iY5TYMCFEeDb31YgfZ99Bm6v0YSsszd/vWInAN8BIaWnAHgFdmK//fbn54vvYvqMU+np6clLRYpj1KhRLF68mNNPP50pU6Ywc+ZMVq1aRTgc5qc//SknnngiHR0djB49uuQxbr75Zp588kkmT57MwQcfzMqVK2lra2PWrFlMmjSJyy+/nLlz53LGGWcwc+ZMJk+ezGmnnUYikaCjo4P58+czdepUjj/+eKZPn17uajnllDnc+6vf8LnPfTa/9Nprr2XGjBnMmjWLiYNFWn5cdtllLFq0iIMOOoht2wpFSxYuXMgBBxxAR0cHkyZN4rzzzsNxHJ566ikOn3sSh80+k3vvvZdLLvka77/XxX//+IesXPVXOjo6mDZtGj//+c/L3vfhRrLXb7T8aWHdaS4ktTTICzxXpr04gpFmXDvcEFmGpqkOPxQpDcAdO5dYV58Bh/BQAFwECBUB8HbhA/BYGNc1PvC1FpsH2R8iia6zYwH4lm6TQDiDu3kXEn3t4GqYmQ0NO15fJj3gWX3/fSAmwAqQTTamCJHmg9NAuNDhx+PgYwzMbH07XieZ8JMwSzPgps+Am+n6MP79Zj9+Xivb3F3UH7pHsMfGHbevOicf9Pc3SGe/M+oXz7/8MCltFxhZGKA1EoAHAw5eKsb/3BFmzhz/eJZ6OdJmfQG4lKD7ADwSDQ35PhwG01Kii0Rfd837XaVqCLHgkx28GdyVvj91AirnRJMFCUooxIDE6FzoNEEdEz/rGTslKDsgPM9TRhYVGHDDMPifH36PYHMf8VhH3oN57dq1A9Y76qijePHFF4dsf9xxx7Eq96QWxYIFC1iwYAEAY8aM4eGHHx6yzl133TXg88UXX1wycfGqq67iqquuKnsNABLJP887hv7+F4nFCnNBF1xwQclBxTXXXJP/e+LEibz22mv5z9/61rcA0DSN6667juuuu27Atl/84tl85phPocUSNLcq55PeLpO+ra9iiV1obys9EPlbItuvXuQcs5/JgO2z047dKADOEAY8HGvFcUINAeB6TnMeiw35LhgEy29EzXQfgZbmv/l4GroPwENE3d2ImHsSSI2nLaqqmI1oCuM6BgTsYU+z/8//wA9/WPicTg/MvdiRYUgXPAGaxPMaz8hs3pZlfCRN+q9TeW7N/hw7dRn23g0qwAH0Z9I0CQ/pP6vvvQfBJgmpWMOSMHXfIigYHQjAt/ljHduq7/thJZOIJo9y3FXGd1+xMvUBN/1mP4Yvy+tyC0md6YxFe1TJ3RxXnUsynWBkZGxdjrszGhPO5o3YXhu0b8O1Q+iJKHZbA6soC7A1g0MO0ejsVBZ9pv9uWFZ9+yvbrgzAIxHI+n1Hsr+HMYyruk8p4Re/gFBLL995YQOtVoAVD/yM2Oi5KJ5RVwx4CceuXOhaE0TSeK6LVqoM+YcYOxnwHRCelLzbClasfDq+EOQTe6Q3fL/vj0wICT5D6jmNlQwU8jgKgMyxooiQhec1xofc8YtiaIa6xkWLwPHZNitRf5AhZWkGPBZrwrXraweYi9yRItGhADwQANNWjV3f9vok9GmeplgMLUhYi3PEX9Yy7o9PMaJV/V9b4kFcT/crG9ZOYX/nO8qW7q9/LSxLfYhEiCEcSCu7DMdufFJQV3cWPZYgY0doyWzH627H1hoHwBPZVL5MOygAHh8RUAC8UT7g/mAsGBsIwC0ftNpWfZMTzXRKSVAow4A7Af+49QE3iWw/mp8XFEjuCn1qwLvV82iPKqs3128bkn2NA3I7oz6ReXc7mt0Cbd0ks22QjGPXabakVGiAXUT8jR8PGUd1nPWawcyFaYLuW3bF4kNnTxUD7udIJGqbEdu8GR57DC77wh08fcvetHU+xK974xxwACjHYsPvO8oD8FB7K2gS1/zoJSrvBOA7IDwp6Y6CW2JKH5T2+bXXVuQBuPcxBeBSSgTguqoTcs3GulZI6UNvWQDgrqPusWhUoRPfd1g3lOb0xz+GRFY1aNlE/UGVKn1dYBVz0RSO+c4gTl2r7gHofqsQjQ8dMAoBlt+IJrrrU9lRk6qKqaYFfYYdenvJVxrUdYHr6+y9Yehc//3fhy4rYT+/w0LHhaS6p04DEqAGR6KrCy2cJemEiGYSZBOjcENbGuZXn8hk8x7ZI0cqd5CMF1SVYhuUdJrrdotna1pbwfJ1R7ZZ3wGqk8kqxk2UScL0fHmWVZ+2IJHcni/OFjTa8gO4dQJG+V7Lti+H6dtc+7T+zvhwIttlEc4Y0NZNvzMC0lGcOktBcmG7NkJ4eHIQAPcAK4Br1/e4llUYEJeSLxoGZE31fTZdW45ExsfMx0QeZ/Rea/jhA0/x2u6KOX/3XcgBcKGXt3FsnqZyJ+TfUEm5UbETgO+A8PwOT6voglLMgNcXUO2w8AAhcaTfCdmNB+BK9FJ0CrmRsNcYkKF5itU3AoUptoytjpXsrz/LZ1nkS18XRzwSzjNfw2GFa4kcixGJlfY0z/oMeLq3Ph2+EAEFwEWgJAAHcN2czr42BJ0p09Z+mAy4JhzIhsHV6m6PVyrMLWqGIiMhZPaTyY4Aw2xYsnDGshQ77OmMG6ccCe57KIw0Q0gakyCo51wXIoX3UQFwn+Wz6jvictMW6C6UBeDqPLw63eNU31Y0TQ0mwmIkKzw1cPu/UTCmyWfAfYCV3LZTA/5RjxZNEk2DHLmdrBlRANxqzOxQ2k4jtIEAfPfdIYOrBsV1lkyaZgHj6Hqw5DoZS52LlaqNATdNCOCBoWa09+nfRn9Y2QpLCQgjrwEvF7quBq07QvY33NgJwHdAeD5DqVfQgCv3AH/9jysD7ipKWkqB9ASu11gJilcKZPuV9wSNGcRo/v8mWJT0lfLxb6av/h2gZSkGnEGuC/FwCE/mWOH6DnRyRwqHh+r4ALJ+0lcmUZ+OQ5NKA677ADyVUj/FADync3UytSHoXDrEL34xcPmHxYBnXRcdF881IBvGMRsPwG1fkmB7YJj9JF0lfrftxiREZjPpPAM+zpd3plNNOG4IaMxgXPOf1kjRszpiBFj+NLvr1Bf4u1nHn/IuDcBtw4BsqG6dvZPszwPwoB7n39+2+PVGeLqnCID7chgz9dGs9rczVHgeRAVE00A8iZfVIB1tWPJ+ysogNG+AY09rK6Q9CZlI3QaJuTDNQk6GEKUlIWnLtwfN1uaTb1kwMpqCMb5rzDmLmbA1AEjSaUmeAa8gQdE0BcB3ROL7cGMnAN8BUQsDrtbLSVA+ngy446pRqua54ATqzswODk9KhJADJCiFqajGMOA527NIUdJXwvQr1dWx+EYuMqbjS1AGM+DBPPPl1XmgY/iJNDmd++DI1tniTSOQl6A0N6uCLjCIAc8VVqnR1UJNT8KBB8LosasJBBQl/mEB8N61a9GEi4sPwHeABlya6mJtV6BZCfplYwG4m0r6g0W9AMDNEThOCE1vDADPa8CLbAhbW/36PK6G59R32tlzPL/DL5PMpYeQmQiI+jxobiqJ8AG4rhskUq18fzVsS4VpjfnAwmfjrdRHs9jIzlCx7n0bGQwqAB5No5muAuA0BoBvTwwF4C0tYHsuZMN4sr6AVJFFlQF4jgF3rdr6StOEXY95C/Z9O79sZvBZRNimu9dWbkRVJCi6ruRptc6e7sjYCcB3QOQ0upqocrtzEhTZmATCRkfOp1tIiecZCNFYAO66HoOBdu5FFI0C4P5uR7YXAHgmbYCrkW2Ali+RyaJRQgMeDeJ6ueelvgBc9+9dWRbDU8vdeskohM+AawHa26HbV7YMYMD9Mamdrq3TyElQzF/+gHvv2o+ff2cvMJIfmgQllVLJey666vycxncGhlTsr+kG8Jx+ejWVwNcoAO6kEn6CYoEBT7htuG4QoTdmNizHuGlFRaNGjADH88AO4NZ5dkha0p/yLv1uiEAUadeP8c/2p9FFDoAHwPRdh3r3Ipgbc/jsX62D053x4cQb7/SAFiFiuoiwSSClkrI90ZiBU3efqtrqFSUMt7b6CcpmCCnrOzukkjAr9x252WLXra2vNE2YM/keiKV5/+5TcVJRxurvEYol6e4zUS4oXsUkzJ0SlH/w8HxAo2mVGfB6JWE+9dRTfPrTnwbgkUce4frrry+7bm9vL7feeuuwj3HNNdfwve99b8AyJ2eyLD08zwCt+kCi1H5qDdd1chNe+WW6oXPyyRdxxDGf5sADD+T888/Hdesn6clVpQvHIpx3nrLlaxkVBjOEXeescoC0afnT+gOfnXgkkNeA15MBd5yCD3i5RjRrq57ftuvToOW8XHUtSHt7YfkABtz2k3dqlKBks4CRoVc8BcAeB2/hxF1v/NAYcDOTQRMuts+A74jpUEP6ZeDtIBvCPfRoymO9YQx4JoUQLkidZh8npu02PDuICDQGgBcYtwIAD4fBQQFwWWcALmwfgGulGTc92KSuV6vP9ab6M2h+O6rrAcj6HprvzygAcH8wUK/Ez53RmHhvWw9eIEKTPysT6XewrRie3pj/W09PAqG5A/qOlhYwPc13KqvvO5kx3XxPXPw+FofjAZkw0qsdgO/atB5sAxmbRmpbO4Gx79MaS9Lda+Zrq4gy7yOApuUY8I+hBEUIERNCUbdCiP2EEPNEubu7M0pGjgHXqzDgeQBextXigwDJefPmccUVV5T9/oMC8FLh2qqj8ITElToYdsMcFwAc1wMhKT6ErgkW33YDT//xYVasWMHWrVu577776nbM3BgqFI+yaJFiWqXRpFjNBjg9pNMZJUEZrAGPC1xZfwbcNEFUAeAZqXp+x67T9L7IlRMOMmpUYXExAM/J/dPDAOB77P4U4SKf9LP3eIAGG/OUDTuZRegOjqY31BWkOAKo9zGTbebZcQ6OqZ4hs7+rIcezrDSaUAmKOa916cTxnEBD/OqhIEEZ7EoiUHaow3HNqSWkqyQoepkpbxFuQtYRgKeTWTThIj1BIKBDl19bYfM0Qr7sXQvlbF8/egBjZxRiU08vnh4m5ks/jKyH5URAt+uexwPQv7UPoQ+0zGxtBdcx8FwDSX1nqFMZO3+kci5BEoE0wyBrY0JME5qlibSCRA7qoL+7Bca9x5hwgp6+bL5DLtdXwcefAX8aCAshdgM6gS8Aixt5Un9vkdeAl2HA165dy8SJE/nKv13MIYd8li988cukfapu/PjxfOMb36Cjo4P77ruPzs5OZs6cSUdHB5/97GfzJeMfe+wxJk6cSEdHBw8++GB+34sXL+arX/0qAFu2bOHkk09m6tSpTJ06leeee44rrriCd955h2nTpnH55ZcDcOONNzJ9+nSmTJnC1Vdfnd/Xt7/9bfbbbz8OO+ww3szXhy1ET08vBx54Eo7n4nkG6XSGPfYYh23b/OxnP2P69OlMnTqVU089NX99xXHkkUfykjL3ZNu2bYwfPx5QA4/LL788f04/+clPANi4YQPHnfwFZh/5OSZNmsSyZcvQNEFzvBkhPBzHwbKsYRVuqRY5CUo4FkMIVVvJDbaCFfRrqtc3ksmE3wEPbNCiUfB8CYrr1g9kZLPKdxzKN6JZV/X80qsPAJfCUIV4fAlKLgZIUBx1rWa2dgA+adwb0JTAzSrmNzFzN8WMoywz33rrK6xZc2VDB4m5sJI26C62poNZvyS9SmH4lTczqZG8PC5OMJVR1TCTjQHgtmMidBfQ+Pzn4brrADuG6wQRwQYlYZbRnHqBHMtXX5AhPQmaVx6AR1rw7FDdJDdWxkbXHPAMAgHg14s4Ivs9eO2L5GqKhCJR/9x2AvCPcnT3ZXCNMFE/P8AzXSyp2lLXrb9FXnJzn+/YM1AD7loBPLf+70Y6a6OhHLtEGbJRkwGkGUaK2q7XSZmMMG08N8BuB86gZ3sM2rsZE+0h09+fR7CVAfhHlwGvpRKmkFKmhRBfBm6VUt4ghFje6BP7sGL1JatJLq/vlJCzr4b4r8ouKG+++SbfueY7HHPiVVxw/g3ceuutXHbZZQC0tbXxyiuvsG3bNk455RT+8Ic/EIvF+O53v8sNN/yAhQu/zrnnnssTTzzBvvvuy/z58wGVdGCaG/Ka8osuuogjjjiChx56CNd1SSaTXH/99axYsYLly9W/tLOzk9WrV/PCCy8gpWTevHk8/fTTxGIx7rnnHpYvX47jOHR0dHDwwQcPuIamWJzJk/fjmedf4lOfmkNn5zLmHHMUgUCAU045hXPPPReAb37zm9x2221ceOGFNd2/2267jZaWFl588UVM02TWrFnMnTuXB+6/l6OPnMWlly+kqfWAPKj3PI3TPr+QV5av5Pjjj+e0004bxn+rcuRmMYJFrguaMULZy2n1t1pL9iWIay7FMhtQADztT5R4daz2VwsDbqP07/VibUQ+CbM8AHf9CoOmWRtwzWZhdGsamvsJuwdip1/FG6fnGXDPs9m4Uc387LbbRYRCja0gaCWUfZ2LACuIVyMD9LdEwNcOW26csH4QutwG/c1YwcZIUDzLyXtkGwZceSXc8vMojhNAC5nDrmJa9XgeRYzboGdVb8w0O56SoOiUtlkLReJKghKqz3FN00JoDjIHwJ0IE3u+xvNefvad5mZVMRb50fM53hmF6EmYjA5GiAgFBFPZJGF820ovA7RW2Hr4kdqehLEDLTNbW8G2gnheAK1OszS5SJsWoRKGAcUhCOCZYagRgOsb3iNsudiezv7j23i8R92v3do28JceA2105b4Kil1QPp4MuBBCzATOBH7jL/to1fP8iEeOX6vU+YwbN46DD54BwOdO+2eeeeaZ/Hc5QP3888+zcuVKZs2axbRp07jjjjt44411LFu2ivHj92LChAkIITjrrLMAVRpdSgvHUXqrJ554Il8OXtd1WkrU5O7s7KSzs5ODDjqIjo4OVq1axerVq1m2bBknn3wy0WiU5uZm5s2bN/Q6Pckpp8xh6SOPIV2NBx74PaeechIAK1asYPbs2UyePJklS5bwxhtv1Hz/Ojs7ufPOO5k2bRozZsygu7ub1atXM2XqQfzy3oe4/ruLeP3112lqavLtHDUevO8nbNq0CdM0eeKJJ2o+VrXQc7MZRUlfRiCOZ4Xq3qABZBIp0DyV7V0U0Sh4OW9sq84MeBUA7gTCYAZB/u0AXN3OXDGF8hIU4c8ADAeAh2NRaEoQa9oF9709Gdm0ib60avjtnsJ+dgQzYictMBwFwBvoi10cRq65MZoYv/EyeoMbIB0lk2mMX7Rnuz4ALzw37S2xfGGuek+zmyZoZRKGpa4j7QCyzvaHUuJLUEpbdMbDITwngGbUCYBbrtKAewaGf4mpFHn5CcCYMaPA0RHsBOAf5ehNZrGNMBFNtT096V6yQg3kvDrNJhZHui8zxLGnpQVcM4TrBaDOJgkp00IXHriVwHAYzwqDXuP1btiOodnY6IwcCV096n6NHbERK5lQLmh8fCUotTDgFwNXAg9JKd8QQuwNPNnY0/rwYsJNE+q+z79u2ECKTQjKA3AFzoVC69IbANZjfpU3KSVz5szh7rvvLuz7r/DKK8sp5Vzo9rr+drXbGkopufLKKznvvPMGLL/pppuqb+xJTjjhcK6+ZhHbt/eyfPlfOWK2GlQsWLCApUuXMnXqVBYvXsxTTz01ZHPDMPIWjNlsAaBIKbnllls49thjB6y/aVM3jz18B7/749MsWLCASy+9lNNO+yKOJ9B0j3A4zGc+8xkefvhh5syZU/M9qBQ5zWlx1rUR9KedI/V3fcmkVSM62AdcSVBU4+NZ9QP+lgXCL31drlHTQnGkGUaIvx3cWBbIHAOuB/LuGaBKiufDrzCYSdfmPZ7NghscAU0JAqGROP3tNO/5DuudV4FDMTcXZrl2RMNsZm1CLS7SQzHgOwKA+7/bd2nh3XvmMev0ZZCJkEnVVoVuuCFsDzRvgHRp1MhgURXTNLpeuhrwBwnlO+wfe7BcSgSQTgDqnPwppKjIgDfHwooBrxMAtxwXLeAWJChAIjEQgO++y1g2myE07UNKcNgZNUVfKosVjBAy1IC/x80SEcUMeH3DSbtDHHtaW8G2w7ieQUCrb3+VMa2SlrnFIQNRXCuMFq2t/bP6+qHFUgMGINqqZl9Ht27Gzoyv6tgFH2MfcKFatXlSynlSyu8CSCnXSCkv2iFn93cSUiqv6koM+Pr163npLy+Dp3H/g49w2GGHDVnn0EMP5dlnn+Xtt5UnZiqVYuPGtxg/fiLr1q3lnXfeAcgDdDcPvNVDevTRR7PURGzeAAAgAElEQVRo0SL1nevS19dHU1MTiUTBh/TYY4/l9ttvz2vLN2zYQFdXF4cffjhLly4lk8mQSCR49NFHS15HPB5l8pQpXPNf/8Gxcw9XSVlAIpFg7Nix2LbNkiVLSm47fvx4Xn75ZQDuv//+Aee0aNGivM3hW2+9RSqV4r331jN61EjO/sJpLFy4kFdeeYVUKsmmLVvB14D/5je/YeLEiWXv+3CjlDxDjzTj2SE0o/4doJkxQXeHJGHGYpDLyXWs+jXejlOY2i6nAdeCTUgriBB/O8jIZF31XmgSoQcYOVL5gL/2WuE8AISf+JmuEYCnM5KAE4LmfoLhdnRtBMbILpKJNQCYWwqN8Y5omDf3bFEDKQ+kFUSKxgNw3b9/++0fZuNGaB7ZApkIltUYBjznEFJcFGNUu8DxGbF6g4xstsJgUQSRbv1ZPpFjwI3SALw1FsJ1Amh1Av6W5yGKNeBATw80NRXWGTd2V2SDZuB2Rv2iP2XiihhaRA34N+sepu9n0QgNuJdRkjDDKLwboRBIEcb1Agi9vnbHGctWriteeYGECMZw7TDCqK39688kIGiB3/5PnDIagJaRW9BEkoDvGFcZgAcQIvCRZMArAnAppQsMRYI7Y1ghGVrJcHDsv//+/GLJYg755Kn09vblpSLFMWrUKBYvXszpp5/OlClTmDlzJu++u4pQKMy3v/1TTjzxRDo6Ohg9Wj2kppd7wRRovPnmm3nyySeZPHkyBx98MCtXrqStrY1Zs2YxadIkLr/8cubOncsZZ5zBzJkzmTx5MqeddhqJRIKOjg7mz5/P1KlTOf7445k+fXqpCwXguE+fyINLH+TUecfl9efXXnstM2bMYNasWWUB8WWXXcbNNy/iE584iK6ugk514cKFHHDAAXR0dDBp0iTOO+88HMfhuWef4VNHncrh/3Qa9957LxdffDHpdIozzv4Kn5r9WaZNm8bo0aM5//zzK977f/s3uPHGiqvkQ4ihHb4RbsK1Q2hGbZ19Og233ELJWYvBYWZNxSrKgQ1MNAquv71TRw244/iVNynfqBmRZqQdQtSBQUlkrHwinaapRnbcOJg8edAxUcypVWMFyX5zq1KqGy6BWDvNu+wBhsu4rZsAMLt2LAOeyaiZDM2RuG4Qrw6zB9XC8JO+995b3btfd45CNtCBRfMdQoot+trbyQPwemswTbP0+6gWBBUDXmeWDylB99ADpZMwW5vCeK5RN9tF20VJUGQBgG/fPhCAx1uakVYIo0HFjnZGfSKRzgDNEPPfv/bdsPLVjOs/IPeyfr5CYOBgMRyLqIq89WbAMxllQ1oBgGuhuOorA7Vd7xbZBUEL3Z8pCMRa8PqbiTR1Ewqm0KkOwEElYn4UGfBaJCh/EUI8AtwH5K9ASvlg+U12RnFIKQfSeSXCMAxu+v4iRo7cgOtEiEbVtMnatWsHrHfUUUfx4osv5j+/+64qXDJr1nGsytXfVgdl28Z1nHnmSZx55klI6TFmzBgefvjhIce+6667Bny++OKLufjii4esd9VVV3HVVVeVvwhfjzX3+BPZ8PaJNDWlkf4LcsEFF5QcVFxzzTX5vydOnMgvf/kaAPvtB9dd9y0ANE3juuuu47rrrhuw7WmnzefLZx2JJwxa2j8BqE75j799ACOWpLmlo/y5+uF5kFPX+CYwFaOUPjoaCuE5QfQaGfBvfAN+9CPYe2848cTK69pZE1pcBqddRKNg+xpw265f4+041ZMwA2Ff8/4BO/yXXnyR5uZm9tl3f5IZM+8OVK7yJkBAV3oUx6oNxHnJVwn7jXwo1sa4fVp5Mwtt2lYArK40+HmXO6JhzpgFAO64IYwGJOwOjtwTM2qs6oDffWsC9twIQttc8z6WLoULL4S33x4oeygZ3lAA3tYGzhY/V6HOxYeyWVmkAR3U6WtKiy20+lYZzOXRG0bpm9EaVwx4vVxfbE+i6Q4Sg4hf+2vLFth//6KVQiGkHUTXG1v4bGf8bSHsBDZN0LoO1w7Qsvs0nFW5Wg71Z8ClrQaLodBAAB5tVgBc1EgY1RpWOqVsDysAcD0cx3VCiGBt7d9GsQmCFs1hlWisx+J4mRiBUJpgIIMhVb9QDYBrWvQjmYRZCwAPA93AUUXLJLATgNcYmu6hVdBF5UIIzfcCr90WzfNgzC7vEpAeyL3zQN+0MmhF9mpSOghRetq07uFpCGykqwEfbJrLqWEzNbAZOLjRNN9PXdSme3/rreGdV8HIptDIRIJBHCdEqEbW69VXB++rfNi2sq9jkOY0EilUh7TqzICXZRX9iIZjeHYQ7QNYrfWsWcMN/5vCcFLcc894vvwlizYf8GtlpvUBgr6VlOfWdq3B5AqiPsAOBnclslsrvAMjQ6oE8roNPWhT1fc7omFOZ0xV7dOROF4QjPq7ggyOXOXd9tEKLG7tmYRjhwnUyD4BnHcedHXB1q2w++6V183LM/RBAHyTP1BMJ6B5eNdQKVJZp6wERdeCeG4Qrc4sX25wqgdKA/CRzWG2OgYiWB8G3PM154JAPil561YYYEAVDuPZIfQ66c53RmNCd1JIrwXae0j0tqO374vj13JwrfqTAJqjntVQeGDeRaQ5qhjwOktQrEzKl6CU79j0cBOOHa4ZgKcCIQhaxMOq4QjGW3A3RQmEUgqA18iAT5hwC8HgrjVeyY6LqgBcSnnOjjiRv+fYf5c9yhbXAaV9XrFiBe+t6fXL0Q/Dl9jxaB2tandnNq8nMnZPAJLpPvSiYyopSGMBeK78u5Q6SBPp6Yhh2IAV2zHXUnNI5hIwipJbhVBm/0JQE8DxJee1R4ms63AwgGcGap523rhR/a6lLLpjWUqCMuhVDYUKANxx6s2A50BNaSYjGgwP2+nBdVOsWvWv3HnVQfxr63JwDLbs0cYdvxzBN09ToDgY2qXs9pFwDFwN3NqOGU+vJRZSLj+h0K6Eo3sj3zRobVYM+F+2dZPDMI5dX5a0VJim4zPgHrbMJV6ZdU1KHBy6P7MQCvka7OwoNVCssfMDVWiq+HelkDJXJbLQzjQ3w3bHZ8CHUUQpFKo6aUgqY5WVSwlDSUHqzQrn3gijjA/4iOYQm10dEbCR0i37DtUcrqY88lH5EbkolqAQCuHZQfQ6MpqmuRHH6ScWq1/+zD96BJwknrsrjOihr2c0kVH7gj8r5NTo7jSc0Pwk/fAgAB5vjSK92hjwxx5TRg8XXUTed75c2GYGYbhDHLuKIxBtUnUBQrW1QWaoGUImuq6mfwKxZrxsFCOcImRk0GVtAHzUqFNqOt6OjloqYe4nhPijEGKF/3mKEOKbjT+1v5/QNZ1AmQa7OFRjLfIgr5aIF7mF2LGCbtqyskMY8IZHLnkPDYFvnSdqr95ZDMBrYcCR+PdqIADPjV+krH7szUWz8bWYiZSSoIRDGq6n15zUkgPgfTXkEzpOwVu5OIJBsP1CPI5dPwbcdalq7RQPK6eH4QDwnp4/sHXrnRx/yb/Bgjtg4W0cd8CjjNrFomXUOgCamg8uu30sGlW+zrI2kKG524lHldtHKLQbWiSOuW0X4iPVP7y1aIbE7m98CW/PkQpIORJb5qzHGitD0RkMToVin2rs/EDlKwAka7hFQjBEghKPg+M/p3a2Ooq3bTW78/WvVz9eMqsGp+rYgwB4IKKKjWj1bfdyr2E5AN7WEsJxP7iud6tl8bvu7vxnV2r++x9gxIjCegMAeCCgksDrWG309dfn8eKLn8C2G5Ow+48YAS+JcMMwooee7WOIaHuS65bdBgDwXEdoBAfO1jS3RfE83QfLlWeKv/pVuPRSeOih6kezbV8DXgGAB6PNOG4QYTh4Xg1tuQwoDbgPwIPxFhwzgh5OEwiYNTPgH9WoxQf8ZygbQhtASvka8PlGntQ/agihD1+CohdAphAS2/StBz1vAJDfIQA8HxpIVRFLeVjXJgcpZr1rYsB9CYooJUGBvKVhpSjq69hWQ32SUvroYBAFwAO1gcMcm9jfX31dz/F1tYMamECgcQy4VsWGsCkcUU4PwwDgpfY1YdoTpLIWLe3rIBkjEt+n7PbNkRjSMRA1PseeliQe3oa0gxiGog7T28cSGrMBT3oIWTj3VKK73G7qF54CUjgupmyc929x6AytEmk7QbSAjefVdh9z72EtAFzz5RKaPhCA2z4TZ2arP6dPPy1BcxiUllIyFAOea+MGlaL3GfBqLJ+UkuufuZ73+t6rfkCKqsTqpd+NlmYNN+fPb9cOqjKZNVjpTZx+0+9Zdvrr/N8KVa1UeAUGvBiAD7DoFALXCdSVAbcyaqDa1XVP3fb5jx5BL41uKwDe3bMLEWucat+pPbdlOCF8cGoMkku1tMWUBAWQVQiNnn0Xwazv5kmjSmG7aTS9chJmKNqE6+TqAlS/5oBrQNBCMxSLH4q34JoRtHCagGHVnIT5UY1aAHhUSvnCoGU7Es39w4Sm6b5dYe0AXNf9Ti2jRoiZLjXNKz1vwH6kVzsT/UEjB4M1oSGkh+ePhGthomGgK0gtADx/3EFz1TkAXss1L08+DtcIaH6PrVsrrytlaYeQYFAxVcJwqpY1lxKYfivs+aeaGHDXdUHzBrCKuWPafnl2t+5JmJUBeDzsS1CGkWjmOAOZNM8O0rz/chKJDLERm2D9HmhG+YY7Ho0i7SBajbZynmESjWxDJtvzz0e6rx0xZjOJTGKAlCWdbIwvdnFITwfDAcfZIQz44Gf1F7+Az30O7HznNzzNaaIGlY6AIRpwxYCrv61s9Q7363+6EP4zwIxDq7eB6ayJ0Ep3wLqhGHBRRYKyIbGBK/94JSfeVSUbOrdfv8cc/D7mIh4H15fcODVKbgD+/Od9eO6FXTn9Z2HmblzBW9/0tXGeDiO3o7sjKa6bNoABBzwnOGzrQ8dJ8NprnyaTeXfId9aLyknLtqs0ijuj5gi5KXQrCK29dPXsgpbaDemo59dtBAAXOQZ8kAY8HvPzs6oXx9o+819hzhX09FbvSx3Hfx8rMODxSBTbUe1fLcnvhjMQgEcCURwzjBZJETDsfwgAvk0IsQ8+LSuEOA3Y1NCz+gcNTddQ3VhtAFxKCYFcuWm/U9d9VOcCQuZftB0BwClyJJAUA/DhsW1QXoIyBJgLiRCFx1hpv9XfnludAV+FP7c2ZUlVAO66xQx4oZFRDLh/n2XlTjCdBk78CpxzJL191c/Pc/1iCtoggKGD7W9eTwBu2zLv3V6u4G1TJIzrGIhhTHkPBuCJ1QciRmwnGughEt+G3Dqqol4/ElO2cnqNAFwGLIKRPqRZEM5a6RgiZNG7bQOiKJmzMdO/gyLPgDuYDSy+kYvBbjZnnQXXXVcA4K47PNlNTQw4YohHdlMT2P7I2jKrPy+v6D8GIGtU72KyZqYoYXjgs6oHI3ieUVUW5kkP4cGGrrerHg+KJGhlGHDDACfnTpQevrRpn2N+Cj+6kLGH3uAvEbDrRgLOeHRdtTVQCoAbw3Ze6e7+Ddu3/4Y1a0roffxB+HCfk51RPoJehuZALwRturbuwVWXjsD1Ozq3jrUccpF7NwKhyIDl0VAI18t581cftI1Iw+rEK1XXqwmAh8O4PvvuOJWfrayTzQNw3VDXEA1EcawwIprCMKyaNeAf1agFgH8F+AkwUQixAbgEGOonNyiEEOOEEE8KIVYKId4QQlzsLx8phPi9EGK1/3uEv1wIIX4ohHhbCPGaEKKjaF9n++uvFkKcXbT8YCHE6/42PxSNtBTYAaHpvgtKjQy4IyVGVI0i0345cr1pC08++QRnn/MvICS/+c0yfvCDxUqSUiJ6e3u59dZbh32u11xzDd/73vdKX4fQQHp4+cerPNAs3o/nAYEUtK7FcYd2nLYNf/lLQUOd04APYcB9Lv7U0z7LpEmTKl6H6N2X/bfCXm2/paen4qq+7/BQCUoopCQo6hoqN2j9/cqgZeZ6eDvz58oHBKSLAjWDGDchwCdP8JzKjfdrW17jyP8+h9//sTp4tRy3rK42F02RkN/h18642ZZ/c6/4Du9vbaNvzQSEJtm3fT3heDde96iK2webQkgngCZqG8zJgIuhWQitwP5YaWXt2bd1HRQlB2fNxtsQCqmB7iFdB5PGM+ClKpq2toLlV6WsBVjZRY9LLQCcPAAvTHnH42D5/zLbqn690ezenPkqhPt/V/380gXXhcFtgB6I4Hl6VaeHrJPlu3+A7msyAy+4TOSOUw6AAziuWieb+QADu1MfACDY8SyZ7m6iYQsiWQLeeIB8OfoBEhTAtZX1YbUZuOJYf40a5DhOCS2c/247Zg06uZ1RNaSEsJehfdRqAFaunEFfj4H0LHC1YcmVag0/B5tAaBADHgyqdwOQsvKgbfzWENtvgINeKt3XF4fnWH7V5vIAvDkSwfGPXY346Nu+Cc3TIWijBRQAjwQi2GYQoXuEw9k8A15uRuqjHlUBuF/58hhgFDBRSnmYlHJtDft2gK9JKQ8ADgW+IoQ4ALgC+KOUcgLwR/8zwPHABP/nX4BFoAA7cDUwA/gkcHUOtPvrnFu03XE1nNdHNoSuKQlKGQbcHUT/Op5DoEkBm4wVxkorWkRKR7mpCMkJxx3Fpf+2oCwD/kEBeOkLUL8Chg4UAPiwJCjtf4XoNiwxtMfPJUkO1aMNfIylFDzyyBN5L/VKkcpmWfVjWPPwsqrT7ArUlNGA1zil19Prctlz8NztMHrDr6qen/SkX81saAPjSFTjXcWa79LHL+VP/YuZu/CZqsfLmmm0KuV9o1GB4xgwjGS+9Y+/A5kw3591KF+45Wuke9WzOnmPVRjBLLIWAO4G0LTaniVN09ANC00vgMGsL9Pq71mPRmE/rr0jCjT4umDPIas1ngG3rCK9sv9/bGkB208QtK3qwKqvD5hxM4x8exgMuFdWguLY1a83kNiLXz4ES35flePBzCbVNZawPdODYTypI/TKz4vpmFzgl1WQPdUTDnPWoVpFAK5+Z4bBgLuuT2kb/sZBm+5VzxKPq32EBgHwwQy46yoG3KrRJQgg9fY2f9uBDZ+bcvMA3ErVVnl2Z1QO24YwWUaOeQtpBVmzZgoArrTACmI5DbAh9PsqY1AhHgXAc/1V+efFdWH/TaoPnf3Ws1WPJz3fMKCCuV5TJIzj5SRalduD1Lq389egBwoMuG2r64lGTHTxd86ACyEuFUJcCpwHnOt//rIQYlql7aSUm6SUr/h/J4C/ArsBnwHu8Fe7A/hn/+/PAHdKFc8DrUKIscCxwO+llNullD3A74Hj/O+apZTPSzXsv7NoXx+rWLt2LRMnTuSCfz2LT84+kS+ccxlp335g/PjxfOMb36Cjo4P77ruPzs5OZs6cSUdHB6fP/xzJpFrvj396nhmzTmT27LN48EHfol1Iltz1MF/72o1I6bJlyxZOPvlkpk6dytSpU3nuuee44ooreOedd5g2bRqX+5VobrzxRqZPn86UKVO4+uqr8+f57W9/m/3224/DDjuMN998c8h1JPr7OPDAk4iGNaT0SKYzfOITJ2JZWX72s58xffp0pk6dyqmnnpq/vuI44YQjWfnqXwHY2r2R8ePHA2rgcfnllzN79nROP30KDz74E6SErq4ujjthIYfOPoFJkyaxbNkyAJLJFD/60V18/bJ/q3rvU0Xau+7+yg2CaZbXgHs+61VNgtLVm+aw9wLcfvzxBLKvVj2/PADXh/oOu0iwA3hVOt1RwT1Z/BBcZf+g6vEymf48yC1noRYOg+uqLHq3xg7f2bINknGyzasgNYpMWu37wP1XAOBtb6+4fdOYKJ5jqKqANYQhYhCw0Yps/rJZRRv29m3GyDHptoHXgDLQQ8JnTh3PJat9cAb8d7+D1aurr1eKATcMsHLyiER1cLipOwXHXwIXTahNA+5TboMBeI4Bd2qYZm/uUc95xK3ORpumcl0oVfjDCEbxvOp5GRk7i39LSL1XPRcgBwi0Cq5WOQbcHMbMiqBwb9ysugeZxLs0xdU+wmIPQBUL23NPmDp14PaeE0CELPqzw2Csm9Q/1bEHbvPWW73gJ5Q7mZ0MeD3CsiBk2MSaN+Nt3w3H10HbwgEriFNlFvODRI4BH/ysRkLB/Ixtpf4qkYCxpjovl+rn57m2ynOpAMBbopG8K1I1W9LuVe8S8IkSPegz4EYEx1b7jwecj70GvJazPsT/edT//GngNeB8IcR9Usobym7phxBiPHAQ8GdgjJQyJ/DbDIzx/94NKE5Ff99fVmn5+yWW/02xevUlJJPL/9bdDIh4fBoTJtxUcZ0333yTm2++jelTrubiy77OrbfeymWXXQZAW1sbr7zyCtu2beOUU07hD3/4A7FYjCv+/Zv86EdLuOSSL/L//uMK7r/rV0w5OMiXzvmWL9jP+fEJpPS46KKLOOKII3jooYdwXZdkMsn111/PihUrWL5cXXNnZyerV6/mhRdeQErJvHnzePrpp4nFYtxzzz0sX74cx3Ho6Ojg4IMH2sY1NzczefJ+vPLysxy45yg6n/gDRx89E8PQOOWUUzj33HMB+OY3v8ltt93GhRdeOGB7VeVZY68eeI0Cq3vbbbfR0tLCE0+8yMqVJgsXzuLLX57Lw488xNFHH8qVX7+SYHTXPKi/4Qc/4MILzyQSqVa6DwKZXrY1N6N7Hu8mVqEe09JhmrKk5lQx4Lmp/cqgamtvisfnnsltp5zNCff9uOr54QGah6EP9XD3hAeOgazCgMvEGM5+FeDXVQ+XNZNoovS0fi4iEfJWa046hd5U3V9ehhMkiHHasp/yh8xVpHy3nt33WqO+72uruH3rHs147wTQa7B6lBKCThMEbPRAAYCnHZXFlk5uwRCqsINMxZE7QOeae1wcaZPxGXB3mMBfSjjhBIjFqktCLKvYzabQAVt+k5DsT1B5yANbticZk4CT3oItB26h0FSXjpzvuFE0HRyJgOVj6VoY8OZ07YDPtNMqX6EEAx4KhpHZYglc6cHkxq0m+/ir9b67lfjB+5dcLxe5dBNRoWprHoDXmIS5cUUarei5Tm8bSdPYLSSy7xLxJYZhXVVB+uY31c/gyOlqu3u7GRWvPJuUDx+A2+mB9k+vr+lldE6CYjXeI/8fIUwTjACEIr3IbCuPP65mUx75kQNmCCdYXYKyrncd428ez58W/InD9zy86vp5ueSgZzUWDpKpYca2v18yPqH6M03WIJHxySJRod5IUzSEm7PPNSu3B2tWbMHQVV0TvUiCkptRi4zYiL7l4w3Aa9GA7w50SCm/JqX8GnAwMBo4HFhQbWMhRBx4ALhESjmgdfWZ62FUnflgIYT4FyHES0KIl7ZWy7T7kGLcuHF86lOzAMHn5h/PM88U5ALz588H4Pnnn2flypXMmjWLadOm8cB99/Lee5t5/YUUu+66J3vtuQ9CCD4//2QG+IlLJQN54okn8uXgdV2npTit3o/Ozk46Ozs56KCD6OjoYNWqVaxevZply5Zx8sknE41GaW5uZt68eUMvQsApp8zhgQfuJ6MFeeTRhzjllDlI6bJixQpmz57N5MmTWbJkCW+88UbJ+xB1PNoyEJWFl7Ozs5M777yT2bOnsWDBDPr6unnrrdVMmTKVXy55lG9d99+8/vrrNDU1sXz5ctauX89JJ/2TYo+rxO5mF7ve9zD73XEXW5KrKq5r2m5JDbhyQfGtD6voXLf1pUg0tRPOgAhVL8IiwdfVDu3wPVAMeBXWfcvW2oFexkqVBTW5iETA8Z0e7FSN4DWUwLLjxFpaITsCS+uDTJiWdmUB6FmV70V0TBOeG0CrobBKJgOG1wwBG6PoHveK3cETiP6NGL6Rk5dqwtgBLii5RGFLOmT8wZQ7zGnnnGd9LQWcbBtKVTTN+uAwXYPcYmtfiqX36lz50ljW9v2w6vo56VIx46ZpBUDqVbHLtG0YYRYAXzU9s2VlfQ34UHAdNAJ5nWslv+H3N2XxT49NaypPLUhZ0IAPTooecF6+O5FVIwP+2ys2qD82+qVbMWHrKDLuOqLRNKSiBIzKJURztnJdm2vwUgVeSyTAl7fYYgu/uLdg9Lxh6/t5BtzdAUWq/hHCssAICIxYL9IZydy5cNRRYAkP7ABuDTM+L218CYDvPvvdmo5ZmK0Z+KxGQ8G8aUAlCUpXb5q9emHprFk4sRFV30fhuSUtc4sjFtUKDHgV55dUajvBgOq7AgGlOo4YkbzEKyKD/xAM+GigeJhko1jsjBCiIvUmFPXyALBESpkrXb9FCDFWSrnJl5F0+cs3AOOKNt/dX7YBOHLQ8qf85buXWH9ISCl/CvwU4JBDDqn4FFVjqhsVQgh0HSzfBaWYfYzFVBluKSVz5szh7rvvBmDj2tU0tfXx4rI+EEK9IK6O6/gvs5C+I4ioWYctpeTKK6/kvPPOG7D8ppuq3xeB5IQTDufaa7/IWQsvYMXrr3LEEf+J9FwWLFjA0qVLmTp1KosXL+app54asr2uG4jc8NZM5d1MpJTccsstdHQcyzpVs4XJk6Fr8wYee+yn/OHxlSxYsIBLL72UVCrFa6+/xqRJ83BsydZt3Rx55JElj+d5MM7p4VunQX9zEw+e+HrF60ubVkmLvmCw4HzgVgHg3YkUe68fwe/u+gV3hPeouC6AyHsrD2XzPaRiwKskfmq9tQNM00ohhId0yyfShMOF6zXTKeJl11QhpURr2Y5p7sKYifvCcyNwtB7oayHa7gMGt8pgJBpFugZaDVUc+/okATcOAZtgkQNAqmkcJONoTh+6X6LcycYIBHaABtx/ny3hkSXgH3t4x33qtbfhoKfhL1+qum4pCQoUkjBTierPxNa+FM//8wX88NRTOequqhOdaHru98Buxcnp36vM1HR3wygrhatpCCnZmNjA7s27l13ftrP+YHHosxoKBPBkLgfFBko/X5u6TBwN/vOcc5BuH9MrnJ9tF+nqKzDgro/obbO2wWlI+EBk01jYdROakYUtu2OPe49INA3dbYj2yv4CnlTn0721tscBOksAACAASURBVHf91nc38PmmhKq0KSS7vXsD5pbjCI2J0L+tF3b1NeDOzkI89QjLAj2goTf14aSUM5OmgSVVG17t3QAIGxEW/AWO+cNzcEb1YxbyFQY+q9FQEE9WHxR39STRgqM5+VvfAqC/ZwtNI8tXK4ZczYry74bqO2obkGeyPYQM9W4YhgLguqbj+IYSYS3wsQfgtTDgS4A/CyGuFkJcDTwL3CWEiAEry23kO5LcBvxVSlksPn0EyDmZnA08XLT8i74byqFAny9VeRyYK4QY4SdfzgUe97/rF0Ic6h/ri0X7+tjF+vXreeGF/wMpuO/+xzjssMOGrHPooYfy7LPP8vbbyjIrm0mzevU6phy4P5s2rGfturfB1bjv/ofJMeAS/PL2HkcffTSLFi0ClK66r6+PpqYmEkUCz2OPPZbbb7+dZDKJZcGzz27gjTe6OPzww1m6dCmZTIZEIsGjjz465PwA4vEohxxyCNd/+zqOOmoOujCQnksikWDs2LHYts2SJUtKbrv77nuycoXSgHc+9viAc1q0aBGmqUDTunVvkUik2LRpLaNHj2ThlxaycOFCXnnlFS644AJefO5lVqx4hN/9+gH222+/kuBb3QMIjozRPPEFdm97lYxWufOqBMALnW7lRmV7IsWBn3gevnw7h8R6SSQrD4ykFKB5A6zd8ucP4OpVbR5jPT1YhoGraWzoHlp0ZvNmeM8XeZl2Bi2QAad8IxqJgO0DuUy6OkNmJfsQe6ynt3tPmk6aS8AdATKNl2xG85POpFMFgAuB6xoDpurLxfY+G0EMghaBIgmKM2pfSDSh62l0XwPuZJqQ4R3gke+3tE7AwPYtwJzs8KQvV74yHz7zZZrGbq66bnkArv7OJKsDq+5EksenK0iqV/Boz0VOAy4GORK4mgZWAFklX6C/H9rtDPvfeSejHnqINT1dFde3HdOvvFdCghIwVBVJKhcb2dydxTQ0rv3iF/nWzIppTUrHG1eTuIHgiLLr5SvU1siAC/z1NikGXOguTt8IPK2HaCwB29oRRmUALn0A3ttXG2DezwpBU4LtfeN56eUvoR36PK8/qZjV5DtFGnC5kwGvR1gWBDQD0dyPphckQp4mwDHwagDgy1cm+d+H4cxnavsfizJFo2LhAgNeycJ2a38SJ1AgMNa++mLlA3rkq7aWi0gE3Hz9isoMuJntIRTMAfDW/HLbJ+kCRjBvmft3C8CllNeiEjB7/Z/zpZT/JaVMSSnPrLDpLOALwFFCiOX+zwnA9cAcIcRq4Bj/M8BvgTXA26jqm//qH387cC3wov/zX/4y/HV+7m/zDlDdu+ojGvvvvz8//emPmXnEsfT19XP++ecPWWfUqFEsXryY008/nSlTpnDSyZ9n9eq1xNqb+K9r/4cF5y5g9j+dTlu7730spNIw+AD85ptv5sknn2Ty5MkcfPDBrFy5kra2NmbNmsWkSZO4/PLLmTt3LmeccQYzZ85k2rTJXHDBaaxZk6Cjo4P58+czdepUjj/+eKZPH8QV+VUpAebP/xy/e+QB5h1/Enga0nO49tprmTFjBrNmzWLixIkl78F551/KL+9+gIPOPJO+7T15BnzhwoUccMABzJnTwfz5k/jOd87Dshye//NzfOpTZ/DJTx3Bvffey8UXXwwoKZo6p8o+244D5ug2uOEbcPMloFeeYstaZlESZgGQhEJFjHAVAJ7o74eoAiIjHI93NlRpTHMMuDYUAHlCNd6SytOX8b4+jv/ud4n97ncse/2lId+PHQt7+GS87aQJjNqE0zO67P7CYXCc2nWu/VtfAN1j87Y9GLXfQcSNEXheBiddsHKQ1RhwwHP1qpUNAbr7skDY948t7Lc13o6TakYPZvMMuG3GITS8AibDDSkloZi6T5Yw8jZcjjk8cOOaYU59AybtUr06YTZtl5SgmI6aSbFqSK5Lbt9OcybJSLqRkVjV9ct5ZLu68KVSld8Nx4FYIEh8625It4VV71cuv+c4Vlnf4VDAwPNyidHln5mubpP1Y8aW/X77dvj+99VsmW1D82g1BRePlwfrufwI1/r/7L15uGRXXe7/WXuu8Ux9hp476SYThAwQZdILUTAgCAhRUEQRBQkXI/4EVAQjcuERvYo4MRi8/FAvgwOgICBoIExKSEjSGTvpeTinz1zznta6f6xd0zlVe9cBounA93ny5HTVql27qtbwrne93/c7GgAPEwb87m0amAU1gzDKg1kjl6tpAG5nAHCh+3m1OpprycqpCIo1zJrgpq9Nox48n5VYy1BkLei4oGD9FyQofxdEEEApp0kU0+oCcCXMkQH4UqWGAgLLSgpKpEeHATf6yZu8Z3bGhgyHv+9ytYbqYc8P3Z8u0RJKgRVhiuEacM/r1q/IYsB9fw1nAwMOdFCraVrnPAM+6l3fipZ3WABCiD1KqeNpL1BKfYluccSN8UMD2iu05/iga70feP+Ax28B0o2ez5GwLIsPfvCvWZk/jFdeIZ/XO8+jR4/2tbv66qv5+tf1TnT1geNYs2exXIun//CzeObTLmCsEBJZimp1EsQCL/rJ5/Ez116LEj6zs7N8/OObDwn+dkPd5+uvv57rr7+exUU4dqw7kN/4xjfyxje+sdNOKW0JODEBOVcnKCoFL3zhtXzz7mexzVoGuY6UMa961as6+vPeuOGGGzp/7z9wATd97MM0C9sYr6zw+re+D9CWcm9729u47rq3dXSwpRK8+MU/xst+7mryzuWYud5FWHe7Pbt3cfDgwaHfeRTBhOzu8HcspycT1uvVgZX3el1QgozEkrCxgpvTbYtWhWNHTnD5hWkJiEYCwDezCsoAIgsyitOMVyv83yu1rf7XzhzjRUPaxbFmFa25UwSL5w29Xi4HYXvDMQKLW1/XE3dtOc+O0g7Krkskm4TN7Z10nfoF2Qmzo5QWBw3AlXB1EmYPAN+Wswn9ElZxrVNRMwiLW/Iz/1YiiAN2XvI18B1uu2sMtVuAFMRbBODF5iX83Ue/ArwWXY5heDSrg91sAqm/j3AE68XG2govLf8Tj+HT/LH3isz2Ztsje4M+Ok5ARpZUKoogLk3xztfCehnufF860x/KQH/GAQDcs22Uautch/eZpbUWJ7bv0/c9oFbC618PN94Ij3kMXHEFlGaOok7uxLJKm9p2PkeHXRwNgPuW7gcffcIe3H97K0+740+48JICrl3HFjFUypkMOElir18bEYCfjmF2gZn7BC15gNrpC8hfpusSOHEEZrJ5c5sotbnWwvdia+H7UPQSNyKvJ/3ZSjanGfa1ANWlJV72hjfwgWuuoXr8QYoXXZravv2TbQSnjtOtOi1TvO+rfpVxYXPRPfD4W+D4rvQTKQCKNQyGz+U6gV9v1KMofRMRhDUmbb2+9DLgRVvnQ5i2gWFrEC9SQP/DOUaxIXwNsIC2//tn4JOMYqfwvdhyGEY3I1VlsLdAZ3tjCINiUYBqu1fIjg+4UiQL0QjX2xDadlwhhyRfRJEG4A88AEpKXXUutrSeXblAoBnwUX3AlSJ08ixOTHBsxx7CDcV4em3QpQTbbkEzt2mbpzoPpDPacQy7813AvDtOb1+v1zAYLEEJk0U3yGCERWuVoqcPcHIT89S+eVtqewAMNbjwhzBRsZnJgBd6CoKsrQ1foI8cASlrGNsWiFeHa/08r5toFo6gY16o6EnUWz9Fzs7x2Et1n/CDJLEsNqg/NZsBj5WFYYWZXser1RYKB6y4U8IYYDpv0YxKmPkGphEhY4Mw9BBb8DP/ViKIAyZ2HoLbrmC1mUcQQDNHFG7RfaXW/dxD6mp1m1bX9YZYGn2VYgOlN5xZix+AX1nlUTO6fz7xaLrBlJS9mtN+QBwZJgROZtGPKAK/pDXfYxWonklf8GOZsPwDNeAWqsOAD5ctNYMWJ+d06tH4APa4nfA6Pw9BoBjfcQh56IL0z5HIQbIKZLUjTHIQzj9+hps/cB3NekBL5hFOA8sKIXAyGXDD0n7NYkTbwNbiOsycxfcncecuoLo2jVleJQxXMJOTzKhWRpjyIfWrP5fjVz/zq/zSr14wUlZ0EEDO1nO4k+9W5zUcW8/hGYn0ALnjx/nANbrUydceuD+zvTGgZgW0TQP0c3E0/H3rYQ1p2vzWW+Hl74fKfDpJMjt7AiZX8Vqb5bPt8DwIk7Ujy3oxoIHrbAbg20s7ABC2ibP7CIR5XPfbNsD7b4lRNODXAxcqpR6tlHqsUupSpdRjH+ob+26Kffv2cfDgwWTHmky0IwDwriOHoSujKYVSZsLStgG4QGHo8otbDCmBmYMwcYhBGLxdLl4IrSkXVoRKNKamsJAigthAMWICKBJpWpSoElomcdS/YPeCjjgOMK0Q6gXEBgTeAeAZWdtRBLOFLgs5XUhnJJvNRk+Z9u7QcZzud5EFSGWwhjOxAIA9fYbW/YdQSnL8+O8RhpvlKB1d7aAjNmGiYgvIKLdt2+xpzfODt69S3+Bf17t23HUXuPZphBUj13cMvZ7ngd/2k87IZAdYWNHAxqvqz/2JT4CXEzQTAK58F/X96S4PAAEGwg6prKaDjNVqC2Hr++utyjhVNKjHRZzZU1g/9dcYpiSMHYQbjLbh/RbDjxoUx+fhyHnUDBcDH1oe8RYBeKGyzhFexjJXsb6e3rdrjSqmEW1yswmTE58s60qAsL6e9C/YIVv40fDXRBEdpz+xIekrFlYilUoHGXEMvrcXnvMJ2P8A8mRGexkijBgxYBnzbHskCYoVVljrVLXZDHLbFSePH4dm8wHc0iryzss2tesLU2ve43i06obK0oPw1//+75i1xglUi6YsIAyFYcbguxh2+lJte/pGjRETPw+c/EcwFK3pC9k7PcNqTTtiVRfvRJjJ5rqiQU8Ybs4b+V7AJz75R7z9j0rUfmGzXHRjBAGYiTbay3dPXV3bQcZ2JokCoNZXmTnbZPtp+MxIRaOGA/C2TFOlMOCNqAGGxVJC2FvH96a+3/n774KWSzF65tA2to1OopSCMGN8hLKFZ1VRfq7vBDifzC/KMbDOux979ZI+kuFcilHu+gTwvXJY/0WhkuzkYaXj2xHLuGsziIFta8yulIEwYu0BbEqi0EQqA2HILZUpBvBlHSwfvArxAAzdBp2mCVEsEWbYWbBNUyCF0uz7iOBGKonrxuzgNJNhFbFBIxbHXZatw2qF9uZ1UwhtvZjBgEcR5KzuByu5fvJ4jSDYbFfZbDWw8hVkM9d3JOs4ECa2fEFKUguAjKsYY0lZ9ulF4pUqKyuf4fDhX+fBBzcXDuocIxqbh6qpLJTMBuCh5/GexTfxO2vvZMfBfs+SUz2+QfPzMFZMfLlX9g+9nmGA32YxRpBRhIlesfcubdeiESUA3I7wZscHvLI/AmzwWlROp7/narUFVgLAne5iVyoK/KD/qDKME7byIWT5ao37MKwIju6jjocpfM2Ab9F/vFRd5xgv5U7ewV0nUxWAVBtVXaRmg5uNMm3ws9logCCsYvp6POcLq6ydHf6eUdRb+KN/wVfCRkU2ZICMKAJLFeFX/wj+8hcpHk0/FYlVlGjAN29OXcdCjWC1Zoc1KoUCxSr8yKdKxEH/RNfer95/P9RqX9Xve3e66lHYmvGXcjQAbhp6ec2vh8xMC4LYpEFPFd8RGHC7rAG0PUKxI5SikFRQdh79NPbPTbPa1HPl6pF7EMnYaVX1+AwaI0gPvgvjsuU5bud/c+/XhifktiMIuv74uUIPAHe9xEJyBADeqPK6d9j87U/D/FJ2+45n/QYA7rqjMeBhFCINh0bSFY31XZw6fSN33PHMTbIupWLOO/8u+PKTcd3JAVdr3wvEQmnv84yaGRKJa9dQrX65VyGp7KlcibnvQez1c1eFPAoAPwzcJIT4jXZVzKQy5iMqtgpOH6ro5g9meODGQQd4CiG0fEWiyy8bCtNObKQCRzPgwFZlKGFP0tQgAN7ePFsWRBsYcMMAqQwNwMWIDLhSJOQLpWYMcYCUsLCg3yuSCtvV34vsbOHFAABuJImng7/D9m8dRWD3lKrOeT7R8iKHD7+e22/XaQp33vlcvvIVfbzVDJq4O44Qnem3D9Q2hG1Amr7oyriByCWL5OQKqh53FuowXEKpmOPH/4Ao0it/Lp+4Llibi6AIYevJW2QB8Bzu1Cl41CGmT/ZPZr0AvF6HibHDqJaLWhuuAYcuAz6K04Of0Oy22XUZtT2TeqBBt2GHeMXhmtp2BMICN2D1RDoDvl5vdVg8o8cFpVQCx+3fWImm/v3PNFcz3/9bjUYjOS4+sVsDcNWEZg4Zb82GsKjK8Mp3w5O+zKGFgY6rnWi26gMt+mLLAd+l31l2SMR+xy89V16i8uXh5ajDEAxLzy+G1X9ULYSDCrMBeCuImLC6fXk6hXEHkCpG5JoIuRmoe7bVY7U2HGSYsk41l+NPXgOvfK/J2Zv72d6zCfY8eRKCSANlWU833jRtBxU4qIykU4BASpSj+2DhbI2pKairPH7c/Q5l6JA7kBt2CQC8KT2WnBRGs/umAU5CNuzd9zh2T49Taa2BFCwvHkJYen70a/oe1s+mJ8MOCinhN38T7rlnyy89Z2KfeBI87d/494sen9m22ZIdBrwPgDs5pMqewwGC2GfmrF5f934pfb7UnvWb5ZLQz4DLcPjYCOKI2LLb9ZrYecLh0H3XsbLyaebnP9DXNo7reF4T7rsQ201PLZTo6p9xFukhDBynhgr6x1vJcUAKSjMnEZ6PW3lkA/DjaP23A5R6/nvEhOd5LC8vPyxAeJcBTwetoQz7GHAhQCqBTH5S16uBAj/0utccUYvdDqkkJOYmQbT5te253jR1WW0hVMJ0JQU4Is2+jyp/UcgOlrakRKiQY0cVrfWzrC6H1GZqMFMBI+j/rTaRQ2IoAFdKsby8jOd5GoDbWiYjAwfHbVC5/es0GvfRaNyLv9BiefkTBMFp7rtPEvgNnF1HCBc2A/A2A55V7c+KfXBCorUZMCW2GdBabhfPECwu/iOHD7+OBx98EwBjExoB5JzNzjFCWLoIScrkHcdg5sqIfBN2nGFmtV8esNRTt6Neh7HSadTR87DsdL1f0HF6yGZxo6TseaHUdc6xxsbxW11nDWcAw78x/GQBq55Ot4usNZudypO9/umlEpw5ljDt//g87v3X51JKbBkPVr7DLF8cw8c/DkoRJpspmjlq5LGlBuCxHJ0BVwrMvZfAiz4M/+u3uGMp/X6bQWNgkRpleRqAZyTuAthxhJjS3487cZb1Q0eHto0iyJf07+J6u/ueM4SrT8aM9Pdshk0m7O74GR8wB66vwy//si6TLWWE2HUCUdvsp+85XQ14GsiwowaVfIF9SX2Blbv7NzYLC4qJiXmaTQiS68ih3gLJNe0cKhhtk9OIYxyhr3vbb/wiq6tQpYQvu/12pWRi5tNtIPPTmq22MyxJAWg2sZOpccfu89k2ZdCSp2F5ikbjMGYiXWg0NNO4tnxm2JWGxle/Cm9/O7x286HeIyas/By8+Xe55Kf+V2bbhh9gJkA4X+yebth2ASmzxwZA07FZSHiY8fl8altdiEv/PVADnpywd2qGDLpGFCENS9drEpLdS03aZSjr9f6aGR1sIQ0sK30ul0rqE6KMDarAwDIDUP2bz1LOgsBh29x9ALj19GTUh3NkuqAopX4HQAiRV2qUeqTnXuzatYuTJ0/ycKiSubaygrdUxRL3YbnDB1kjbCCqDcRKHc/THXHxzFm8VRt7KWEIG3lW/ZOsr0bYSxUc596BbhrD4sxylW2NFQwF907fRTHX/9q1Nb0gtlqwtraIEA2iNcVCs8HiIsThMut5henV8bxsKuTsSpN1ew1hB9Cs0wwNYtYoluehalANpzHXoGFGHAltHGcJViPceLXDeAIsLddYX11BRlXyK5sXJM/z2LVrF8eOgWWFqEaeICrg5SvUbruN+sXHUPmQ+Y/dA0ll6k9+8jTCPYlZrBDN92vhLAuCNiOcIUHxkkqOcXUv1vhZrKLiwbd+HX5BP99qNZL3O8OFF0J5XDtB5L3NJbJNw06AzfBhGYYw5nX3y7OuRtxx3ESpiEql+1yjAUJE0Cph2ukLfpsBHyXRzKnrSduc7H6Glz75Om78++7CPgoAD9vShkddTRiudKqjbWrXqnb0yIbRz4DfsRRx4IWfZ2rZ4NPGXn7ixdcBEGzRkzsz3vUuvvCBD7AO7Lg46RORRZ0CtmpCy0Oq0RnwWg0uLnVdQVaW0h1CWkFjIAMuLE9LGkR20pdjBJBLSlFPL7B+6/Aqi2EI+TE9f+YLB/qe0wDchgwHm0bYouR15UV5d/P38+d//iG++MU5PvrRp2KJFswtYN69+bTGcQRt/J7OgDeQcTf/YPH+M/j+LEeP3sCBA+/icY97L3/6p9fzu797P0HkY6JPGdPCcQoJAM9mwH2lsBNtvP+4q1hchJkdZcK4K5VazCjCA1CaGKdZB2cUkqXZxE4IDNsuMjkJgV8hWpzDvPCf+L4XfgGASkOPyfr6QvY1N8Rf/evX4DFH2Lv3xVt+7TkTeT13Fnbfjx/HuObwflH3W5iJJsQqdjdXjl1ExvZIDHhsKHJ+BP/+dPb87XXA84e2DQLVcUHqTIZJWBbEsn0KnCJBiSNi06FUhegDP4PAwrT1fbbzAs6ehcnJHklobGJmyKVioQF4nGFxqQwT0whgQ2n7saLNCd/FG6tAyyWXT0+KfjhHJgAXQjwRXVCnCOwRQlwGvFIpdd1DfXP/VWHbNuedl37k/l8Vb3z1b/L0a9/OnP1+Lrr8ZUPbfeQbH6L40Y/hPesfufoZmmm5/oX/mx956i4ed+3v6Eav/UNeN7mPl17yH1z2gt/jyiu/Qbk8ev7s81/++9z7/tcDcMNffZ4bfu7qvudf8Qp43/vg5S+HH3/+z2Ovn+LE77+Ln7/teTzveeDKt/P/veBB9l5zI499bAPTTD9Gfd3//Ad+5Sn/E2vuDNx6BV/5lytp7L+SH36Rdqe847Wf47JvGvzH3juIfvFKnvzkZ8Lr/oAnf/6Xsce7m4Off+VH+JlnXMf6yct53vWfG/p+Yaiw7RDle/jhOKXCOpXPrhJeqMHNPy/exKMTzGhZ91Esfg0A/9DmI8cobAPS9EU3Z+iJypLnAV8nnLbA1sAlilY58tlTcACqVd2uPHkGliexz9+sqzNsDynNTlGZQRFFMN7DSORnToJS3HLLFTSb9+lkPiMEBPW6hRAxIjawMo4RW23t9AhuGk4DVGxgTXaZyu07L+Rs8Vi3zQg2Z5HV42ftnxoKwPEriMRGzTC6i12xCNJvcXy3wdQyhMomShidaAQ/861EcPAgT02qx341saOTkUVDlbFlXTPgZBfUacf6Ouwa6wKhQv1wans/bA30yLasAjJ0EMYIrgu9gHl2gcrCZgD9f/6PBt/PfCYUxhehVsB2t/W1MYSLjGxELgOAB01K+a68yC5WIAyJjRghTAzD5olPfDFPfCIsLyvGihoEmM0Dm65l2z3H7NHw8WHFTbzqWOffC8dq3H//K1le/mempl7AZZdp29ZS6TBRHGCKXpelweE6RWTkgDGCzl5K7GQzVPKm+OAH4U/fOY4fd+ezs9PDXt2NUlkDcNsYjQFvA3XD8JicBL8haKxvp2wexCtqOdZ6SyfL+bWtE1M3iifCC8FceS6Qztaeq1E2u/15qbXCzsLwH6rutyi0AXhPEqbjjWnZ6AgFxgwixsf1nLntx/5/4M+Gtm34IYW5o6jIxPP6CSMhoG34FaUx4G0JSlzH2q1lSFIaGCd3EU2uUKvB7Cz80i/BO9+ZgP3YzEwYVokGXHpZDLiJaQYo0S+4KJdyqMDRo7CRp3RpdgL/wzVGkaC8E/gRYBlAKXU78IMP5U19N4efVARsNdMzz8+s1TGtABV2d4dr0SyNZk9nXJ7CK04Qtgt/tLaWS9vqAZOVo5sZ7AsueDPve9/lBEHitRvaJFW2ee5zYS3YTRTozxPH2fZYRlDBaOujZ85S9KfZ22MNNm2fgn96DtPP+DpB0D3y6mW/AQw3h4pNXSUvJYIoxrQDlJ8j9LdhjK1y8qwHRQ2Y8uZ/dNoK8QBjxXuJTu1GrW+2PGr7YmeVFPaSidbkUQBEUwIm9dG978+jvnYXAK7bRErFzM574M5LN31GAGE5OgkzZfIOQ0XZ7n4P9u6jxKeXaDb1qUmlouDVl2C89nzqda0bFNLAdNIBeISlpTsZiTQAni/1fc70FDwpl2l63YV9l5vtAx5b3YWrl9neGCKoYIk2wOiXoKxEspPVjzIIk6oQcfM7y4B/bqK7OWj7QcfSQlHEjjUAl2J00B9FUOxhrSeq6S4IQTS4TLvp5FGhixjhyNtLEpRbS3tgYg2/EVOp3MJNNwmq1W8SRfCyl+mNeBBK8mPzcHrHpr5qGTlUbGW+Zytq4Xp1VK1I7Lu4xVUaZ89y880FbrvtyX2JX40GbJ/SoMBqXrLpWr0AXKWwfLZskq90pVCVVUWjoX3r19clRgKylKoTJqdbMmPZ9ArjyNBFmNmbHD8IsJPNUNnbxhOeAI9+0rbOfAKwMJe9Oc0XxlGxoX3DM2J9eQlHxajYwDAsrTtvuqxskPIsN0KoloiaW5dnmbH+Tg9F/7bl154rUTK75MNiu5TwkGgELYyk3xhmd8128mO6vsEIANxCUtqu+6ZRKRHVhr+m3vIZP/+bRA9cMNCzvpOEGacAcBkhcXGmukTB/PKjYWGGoLXEV76iH3v3uwF61uMMz/o2A54lqLCkh7BDEP1rg/PDP5ScMAGhTeHS7CJhD9cYybtFKbWxdz30tZu/SyMINcgIm8OPewFO1UNMM4CoF4DvoNXoYZmXtlEulboWedXRPGLb4cfdI6Lig5sB+OMf/7scOHA7UjaQUlueGQnb+va3wxU/sIMo2SBEUfZ7i7CC8JJBOXOW1cIBynSB0dTc3VCsc/5P/U0/AN8w4E03p0upG+ndYT9tDQAAIABJREFUtBkEWHaA9D1EOAuTKxzcfXHn+enJrteqlBUEIapZ6HzG3mgvmFkVzRyjXUZ3D9J3mY3WYJv+rQN/HhLN7dz0CVZX7yNXXINbHj9wUjNsNwE2KROxH+Dk9AJfW5mF846wfPBo5/lGc5Hz9zzABTtOaACOhNjEctOlSirxdpYjqNLcUDMnXr7neyuX8Z3uxHogn82SGX1M2vC8AtGqYiWnAr0A3HXh8+PjHQC+fzwgTHIb5HcYgH9FSK79CLz8LyFKrBplbJGzC9hxi9jPoVKkQxsjisC1uoBuspEOZoMo0FIu2b+Rst2SZsBHAIduklQZ1jTD3BwzWFn5NACnT7+bL31plZe//I1YVkDTDylOnUKe2L2paIth53SycAY72woDLQnzPVqVMtb4CrcePgFIqtWv06qd7LSt1UJ2bz8Mx3djy82nl7YNcVsDnsLy2bJFaV33q9pLP8LYkz5Gq6GXu9XVZXYVNOOYm7yHuJ3fodKXTac4hgwdjFEA+MIClqmBfdnT1WetqWnisLtxahSyZYP5YhEZutgZcx7AN+7/Kq6KkKEeG/k8rETbOBVqYkFGFiuv/gBnFkxkdQwpt25D6C1/H794C8SNz275tedCSCUp2N3xW3ngaGr7ut/qOHj1Fo2xixOJBjz7d7MAb1dSjVIa1E8MJz8qjUVKOw4R3jXYMnMkF5Q4grgIcxqAx3+5m4/c89tQKRP6K9x0U7ft2lpXgpIFwKUQGoCn5EjEMsaURbBDhLmBnJmZQSV9N45tnO3nZhEeGNGGUAjxJEAJIWwhxK8Bj+Dc5v/eCMKkUp2fznDVmgGG7fcx4FZ5F6r3uLWZZ2KsTJiM7bCxtcp79CTY5Rf692DS7wKgcvlOpAoRPYPPNGHHvu3EgV48RmLAVQXhBsT1cXBCVucmKBpdBtyd69qgpQFwp8OApy/4zcDHdFpI38OJ98PUChdUurv9wmz3mF+FNSCG2Bh4xBYrA6TIrGjmJqyiW5gkXJ5i3F7sTHBS1WCHZvW2TcxTrSabsPm5jTI+QANwGZupk3crCLESBnx5/nx41CEOPnhr5/mG8SVufDz8xZVtDbgEaWC76ZOaELZ2eshINFNKYRoxUprkehVIk5O89O47+NChn+TNN4+Wl2CbXaYjzdvZCKpYCdgTPeyJEHDR+RbHkhPZYlEnGgHIrY6NtFCK4/EM1/0FvORv4PQpDdykMvHMPHbYIoo85BYBuG37qJb+PBNhemJzFAWYM/PIev+xuOnlkZGDMUJF0TYAz/FoAFZ2Fmie0vNSbf1OVld/h5e85G08/ekfpuEvkysvoY7v23QdDcDtTJbPD319qhe41FfG4bwjHD7VTfY6+r7/7Pl8x5kor8C9Fw08rbHtnmp/KSDDiVuct/MrqM9fTfFlf8HMMz+ESkrDr60usM3XDgyl0jHihAFXIl0D7hbHkfFom5zqqWPYhXVkaLGtqJNXvW1ziFb391Ui+3TIy+eJIw/LzAZyB4/fgkuATHTmQsByvJ1DBX1qIxp54pWdhIEiqpdBbN0hqNDwee8/w7PueWQy4M2wSd7uzhnNU+lOMXW/1dH7CtGd79ziBFKaCGsUBhzsJNGZmbPMH9pM0t17r06sr1VuQhiS4K7BklPZTsJMYcCjOAKV76xP3p0VjhenoFImipb5whe6bdfXR2fAlaGrf6atHa0wxIpLYIebXJUASOxkW5ZxTldpHQWA/xK6RPxOdDn6yxlSMv578e1HqHIgBVGULhcJmgGG24Ko2znf9Z49tCa7WfzSVMyMjxHECZPV2BoDXvDXuGfPHiY+8QkWxvr12+tfXoeaBkQTE7fpJIzIxOhJ3tszO0EU6mknDLPlL66pAX+0ro9Cd0YL5O2ee97b1QzHbY/d2Nx85O0mR94Zx7HNMMC0feLQwzLPB6C8++7kugZivHvPRlQH4kSesXkBjgEiizijSqNj69/CLUzQXJ2EXSdh2zKcTGQt+x/U7dwGzWb6pGY4HkqmM+Ca5Y9Qgc3i2UugXKV54qud51Xhps7fbQkK0sD20hd9w/BQgYvKSjSTgKndOPoAuGWx/b2/x3tOf5ibU0qF94ZjdOVVadUNjbA2kAEH2D7t8dlnwB/9Ctx3+W78QLdTIxYwGSUaxw8Thfvh9b8Hf/VzHLk1kTFIi4JTwApbhFEOLF+fHI0QYQi24xMvaZa0lOGtH8sAMXcaav1yKdfxtB57BK2w6yQAfEwv4nIq5vS/3Q5AdeVe5Ck9NrdvX6DRPKjbHNu76TqGnYxHM/13jptVTDNABh6nj+yH846Su6crA6stHe22jU/oQmShjTEgX6FfAz58TBoyZPvO2xDGZsekteXjMK43HPuKDxAnkrwsDXiuNK6/4xE2OSsnjmIX1olqZQqOnk/zU3NM1ntkH0Y2AM9ZFgrIPeMznD37kdS2tcoaphGgehI9l6JdnCgI1L8/FfGmt4Bj4rcMguYYws0u+rIxSklBspn61h1UzoWoBw3cfBeAR8vp+RyNoIWRuJYZRvd7z3lFDcBHkKDY0sbIJ7I1J+TMkbs2tbn4YrjqKgiat6CkQfDgxZvaALRNzWQKAI8jH4kL04tEoU1QWWd9LIJqiZh1brkl5td+7Y3s33879Xpy/wMkoRtDCAsZpQPw3/rtEEOWwAkwrc1yQ7Ohx4TvnZsFeNqRefdKqSWl1E8rpWaVUjNKqZcopb5XGushCmWa0MgTyXRGLqqFUK6g/C4oecwl27HVIitfvQY+fzVRQTA7XsZPQGHY3JoGvNyq8PpXvpK1UonD5/VbiwUrIbT0wPC8eZTSyXu94HTP7BhB4gsejfDeeZKj+vo+/frWWUR5MABXaFZG0q0W2Q7X8xJpRjoAbwU+htNChi5GXgNwHp1Makf1PajYgEoJU1ZoM+CDHEKUELraXwaYbLPRuVyZ+vo2uFDLXIJ7NcvY1p/b3gYAPmBSM5MkTJHCejWDANOKoOWx0vwBAPJXfqrz/P6dXW/nIKhrUCMNbC+dlTYNT5++iAwGPJRgDmDAgby9teQszxkRgMsmduI5vRGAjxVdlAGfuCZkfMbETxYgo/qdA+Bnb/0iKirDMz8N+46xI0lqk9Ki4OQxI58gziWPjaYDjyIwnRbx2hRKGuQy2FVh1BDj64jGrr7HPcfWfWYEAO4kfXVs8mJUbDCrVjAnEkDlrTB1WktCpiaPEIQP6M9zZtem6xiORyyzx6Oqr2M6PjJ0uXfpcQBMX/qxzvMNp5uEGgTNzmbRGjAeeyUoacfswjJwfFBScMenuqlNSgpOVk928jN2lJcIfR8lDc3gpYRXnCKOrZFOGWoLpzCLawT1bs7ARGGKcr0L6KSZXpAIwDYM3KSfHTny5tS2rZbEcAJUj9f4q399H+ONdU7d+Ga44zIMz6QVewR+CSO3xdyhFoyFei7fUV9/WNj7fqdjpVbH9mpEyYZYNtOtURt+E5N2Zcru3Fpwc0hpghllfk9u6EKxRpScglVqt/c930q4kKNHIQxrqNhCqcHzuBIKpCBOW68in8hwINck8PPMF8E1VqFSBqG44orP8KM/+jZe85rXUK93kzCzGHAhHFRso1KcmP7lMyFCaQbcsgeYNyQM+NzkCBnKD+PIBOBCiHcIIcqJ/OTzQohFIcRL/itu7rsyTAMaeS1HSAnVkFCqQtDN4J/MTeK2qnz4+BvgrW+iuctkZtKllcgigtbWGPCJsIK5vp+r/rPrKdqOd95xFG0QCrZZASJtQeT2APDtHkFSMTFoZLMoeSuZQRJXg1n7FJQr+M3kM+7qsvuG0BOeHKDH9NxsbTRA0KxjuC3i0MWd0EmRPOYgKjThQV0JUjZz0PJwxHpHHz2QAW8D8BRpBICVSFAK+QnuD7tuEQtn+osJCFPRbCbgdgDLD2C6rvZ5TvmcDT/AdAKkn0MWL4d6HjG9CKd2QOiyd9uDnbauewKj8xnTkzAt09NODxl2drLWAivSoPHbBeBuF4BvrMTWF1ELx9IAwDQ3ZNAXLfjSs+EP/wPHgUVHb+rGbt3a2EiLw1/8Brl6F9zMHLhNAzdMSm4eI2p1AHg8YjXMMFRYTpPIzxM1C1heQ5uDD4mCp4+njVb/xjlnO0hppW7a2mEnpzVT41PIpSl2xAuw4zQy2XhzqZaHnLf9boIkGVdGm/uN6eRQIzg9qGYV0wqQkcv9ImHutnW5nmVxtPN3ELQ6m8VBtmeaAW9braXIlSxBzq4SL+3l5uUu0JSnduI5Cx0bxnKhShhoAD5IDtYb+fxYIrnJBuCtpUXM0hphDwB/zMxjGKt1NxvC3No4cZx0UBL4Ntghqsdr/ElP2s3U2ipH9+nv0sqb1FQJv1lCFLYGoldXYTyxJ91ViVn3H3mFtBcWKxhWQLSmk19FhkwnalQwO4nhXQa86CYkiqEy63S4UQ6KNZaP6bUpNu7re/5kN0WCKGzqKrgDTnZA19wgspBpvvFhQCw8yDWJgjxnijBVmydKjB6uvfatAJyt5Wg0RgfglrCRkQ0pTkw7d4egCuAE2PaADaiv+26ukF4U6+Eeo/D3z1BKVYBnA0eBA8DrHsqb+q6OhAFv6xCHhWjGUKoi4m4Jb8d0EFGFL/wP/e/T15WZmhIEsgWBTTPY2lHieFznp/3P8tvH30+91A9kTi+sgqcBYs5Y10V0YqOvCtbcnKAt1Y4zKkQCeIlswDLmMOpzcN4RGF9juZKHuL+rGskhjBoEwG0bNQLLF7TqGG6TOPTwJnejIhOKdVTVRi7pRcwPbGh5WG4FhERIMdCiTxlGAsDT39NuV70rjnG8dn7n8ftlTzGBRNrTantTD5GgmE4u8/iyGQZaV+t7TE3N0VxJQP8DB2BtgqlSd3EseId7QE361GBZbTeNdACuqo0OA+5tmEfbR+6jRi43IgOufByrntznWP+TZgBxHSpFLAvqyfpkNb9zJQ6+fPNpphs9+RNTC0hpogwo5fKI2MdXbXeg0RjwVhDovhp4hK0iVq7erZOexOtfD294g/67mNfjwwr39bXJORqAG6MceScMeLE0hr80hXXeAzC5yunjT9ANtmuWtlhcJfQ14FIDPLLb/TQz0axV03ktkYstdhPXkj54dG/yPl1WOIpaGIbSm0Vzc18dlQE3hMBxq6iozJfX9hCt5rjpc2/BqJSZy3URjeMFRHGgEzCzALjjEceWToLNCL9exyhVCOtTnccumLqAsbgLrubMrSWZ2XY6AA9DC1wfVBeAXzh1IRPri+2DP1zXpEYZPygi7LBTrXeUWF6G8ajF7fv3866ffg3rWzx5PRdi7dSili8GLlF9DMNJX1tVax0TiZIC0ZND4DhCjw3S81oAnMiDQp1afYZ4fjtWqd+K9MSJwzzrWX+Jaeo+r5QxNF9YCk20yDTJZBQgsSHXJI6KnCnB7rNnqSs9Dz9up35/UT5Fre3IMgIAN01Pe5+nuCLN7Qz1yY8dYg+QoLQZ8I0nnOdajALA22jjR4GPKqUeeaPpYRSGZUG9AEbGwlyJoVzBMqf6Hp51XBbm4Gn/Bo3nTDAxAb5o6MzlcIvJNAWP6ee9n8ILP0ipNtN5WN19NzM9loZ5c1X7R0dmn3Rhbg7Cdrb1KADc1gPS8co4rQs1AJ9exIm+H2r9O13LTAD4AD1m3rWRUTbLF7SaCLeFlA6FgsWZmmaa7BWIzmjm0C5WwXex3RoCLbNxBjiESGFCbKIyym3bCfBxCiXW1rr6vCNm1wIsTkCy39YlKzGQAbccT280Uj6nH4T6WD/wmClN0bB1stAtxcthabyv7c78NzQAj03MjEnUsbTXcRbLJ9drYEXIeDMDnrMGHC2mRK7QBdNpi5UpfWynzYD3e8QGbZea1hi2DS1s4shGWNl2iiNHocJ2+rWvKrZRJozl8hhxk5baGgPeqq1hek2iMEfYymHlazSOnuTgwedz8OALAfj934d3vEMn05byeqw70fl91/EcGyWN0TSnSdENpzjG+uoUnHcUgPvWvr+vneO08JsJAB+QEOXYdqZUCkAGLS0Ji11K1iTBUqJz/9JT9HUmuwA8DLsMuDWEAe94HaeADMMwsXJVUOPMt3YQv+1ibq/+AGJpG6WJ7m9o5qQGNbEJGRpX1zG0tdwIALwZRYixNaJGP2i+WHaZy2sz5GAbIwuAy8gFJ0DQHX+zxVnK9RX+I/lp3dtb1OQYfpC4coXprly9sb4OE6HPH7/gBfzF83+c46eOZ7/oHIvqwjKG7ROFLsHaNHaPR/+gkM0awox14bSe0GXhNQxTKr2/WLGWoPhyksb8XnJTRzhz5ka+/vXLkNInjn+I173uF9mxo0oU+dqCdEhfVQkAVzILgGsJiozKnC7B3vl5ltu5OHP6M+83lqlWR0/CNA2XOE5nwMsTAQoX3ABnwDqx7dla6vbdAMD/WQhxL/A44PNCiGlGKfH1vfiWwrBt8F1UBrMoaiG4AWMTM32Pf994knQlwDNNJiagRQNqRSI5OgBXClS5W/zlsmqFMITPfAZu+Zm3Mh51NwheYQmIEbGJk+s5XitCmCSARq3siolekgnu5scpT18Ge47D3Dz58fNgdSK5jh6Mrq0Zh0FV6XKuMxIDHvpVhBUTK5t8Hs4k71E4E/NA7XIgYax9F9tuIIRCxOZgfbRhaB900t/TEhICG7NgUl3vyk5WJ7pD0a8m7LufyCJic+BItTyvox8cFq0w6ADwctGiFuiF/ctc0flO2zFlHu2Cmoxywq5XJI5thJWuAT+xsqiTMOPNGnDTyKASN0SxD4CnMOCE2HYDFVmbJmg/AeBP+4E8lgU+NnHoIuzvzJQWx0ChxZTT74ogYwtlwngxD7FPky1KUFbPInINotilVRuD2QXuvPcYS0sfY2np7wHI5yu4boMvfhGKhTVYG8Nx+jfonmNq55xRfIedEFouZt7hFrobmWPVi/ra2U6zC8AHdFTXsvU4zXjPKGxhOD4ydim7Y1TWIVImlW8+CQCx6yTU9SY5jlsdDfhQBjxuex0Pn0tdmUeUqhjmBCoYJ1db5sx24OQuzDaADmwMN9Z6WWlklq/TlQZNLfPIkG4EMoJCg7jV/zvNPOFpnb/N8tTGl6WGYW72fe6NSDrgBBhG/4CcilocvBQ++BJw/mwvDTWG7+s2fmP0aphBAGNBxJX/8kNc9Z8wf/yRB8BryysYjk8UuTTXt2Fuy/h+/KquTLnRFtRO+gogU8CwUgrLMMANkEyxtrYNa/sp7rvvF6jX76BavQXLOgrAvn2ndD2K2Bx6WqNQmQy4iAOdhOm1QJU5UxAcOH2aJauf1LiYtU7huFEAuO3kEpegtCJAIcrS66w1gAF3JnQff8QDcKXUrwNPAh6vNO1UB577UN/Yd2sYtqMHTgaQyyu94LluP9tx0VgXNLtCkM9DQwWoaplYpSeK9EYUwZTdHWgXtc5QW2pyzTXwGb/GmOxqZt1CBZEMaK/QBeBCQJTYHfkjMOBuAsBzpQnGD1wKTgh2hGHu7oBFfz0ByWN6Uh/EgOccO3EHSWfcwlB/BiltcjkIk7Vy+s6QgqGdBI4tCWh52HYLEpnNIH20MJ2E3Uj/3UxTFyEwcyZmtJv5Kuy5UbA2DiRl4f2K/g2bgT5liBEDrZY810EpA2HKoQu932pgOD5x6FIowHtv3snkjWVu3bYX/aZApGfpcWMBow1qsnR8+TLxCAz44SUNwGVkMjaW2jQzxsZKVO94IpAOwE0VYbs18Iubvjc/0gD8l69zsW3wlU0cfecA+E+9JELmTMYKmj0NTmv5hIotMGGimEfJ1pYBeNBcRBiSKMqxfnYv7D7B/Se7ORFBsMAnPznGDTdcy+IilAtrcGb7Jj931xWjuy7YATTymDmTpWqXSV/vyTtBCnJurUeCMgCAdxjwjA1x7GM4TZT0KDtl7rwF/vWeH2ehkZwOOSGyovuslD0a8AF91bYhSoZEmtWaqXJQqmKaE+CPYTWX+OblEJ3pFo1SqxMIO0LGIUqZGBkMuAb/ZjIu0z9zrBKZTNwPmp1XXMclb4Gx28Ec3xoAjzKq8SrpgetjbQDg08m9vv/lUPqJbYTWBGGo+4+/Nno1zDAEM3chj7nT4R1vgLMLo7Pn50r4tSqG0yKOXJqVScS2s6kVV1VYwzCiTYWxHEfXSID0Uz0/jLCTZcdkGyv1/j64tnZz5++JiVOoOEzyFQb3VYnKlEyKKNBJnLkmUOSkO8ajTp5k0evvq0HJoFIZXQPu2nliaUNKknIQh4ik8rExyAUlqar9iAfgQohrgVApFQshfgv4a2DHQ35n36XhuC5EFmmFRgBKyZH5RoarONH995Rt43ngBwZxo4QyRlcPhSFs7+nb02KJ4w8c44k/+CH2v+xLjIlE87a4DdeuazYqNvEK/QNCGhEENkE4Qsny5Mg7X95GPv+ozuP1+i62PV0X22gmC3Bpu7YLbA0Yf3nPRsYjLPiBdppRSgNw29fg/pWPhvfN7+a5L7+Zm7/5s8jAxbJ7Fnx3M60gTHck73HTiFGhjXAERbvMi2+FB794sd5frGtgE1e03MZPkpeUHDyhebaVqR8MGnVMu4UMPAoFuLW5l8f+dQVnfr3LgCdAXP+OIzLg+bKWoFjpJzUnKxXNgEcWMzOpTTMjV8gz/+mfBTJ8wIkw3QYq3KwxbzPgruliWRDgEEcuhtP6jrg1fORT80inTH7sDHHNo7WsT6RUbIMpmCxpAN4QW9OAB4G2pYulx+ryo8FQxM1vdJ4/evQtADzhCZ9idRVyuTosTmM6/b9je8EfxXfYTIriCFNw7P7uaU3ce+pxcheW4xO12h7Zg3MypDIgQ4ISygBcH4VHOVfkSAMa985x56NysK7JgLCh/y/jZmfOGZSvoJnF5H5TALht2FBoYBoT2NE4PnV8Dw7lunaKcn0Cw45AhRpgDJC89IZlaQAOeqOQ/qGTAl4bwLB36RX8YwUmfhus/GiJZp/94J/oS4YZAFx5OrnN6k/uLE527yFvGJj2GIGvQZBfHR1Et4KY1envAyFhbI2lle9cgvPDJaJmA2H7xLFHo1pG2BGNxeFMv5ItDCPS80BPaL/6pGBUCgNebwXYru7Qnj3D6fkGKx95Bbz6b3DFAdYWvtJpm8udQqr2ac2QvppIDdNcu0QcoLA0ABdFHnRm2Lkwz0KxCD1rkizIPglKVo6E6xSIZXpdgDAOUcm4HgTA26c3vUWNzsUYRYLyJqVUVQjxFOCHgRuBv3hob+u7N2zP0wA8w8M67+hF0LEn+5+4/HJ2ndWL9Y9OTeG60GrZBK0S2KNPhFEE47nuhGBMn+XQwSO87GU3sP1xq8xe/WEA4qWZRJ6hmVM31z/BKBFA4BCOAMDtBBQUJ6bI5Q50Ht+7dzckTHdlXQ+8QnLsvDK7eRDn2xKUjAU/CttWjw75PPzx2z/Ex75wDZ8V8OX4aiqHn0K5/GiiyMWyfe2CIg3MAUmYwvIgtsgqEmuaMUQ2QghyjgexzbxnaSx8y+MBCKt6YWx7wQ8r/KGZxXT2JGo2MdwmMtIMeMvfzvGyxRXLd+oCP4B0A5ACuxh0NOB2Pn0W9YqlRIKSzoDPNxpgRRhysI71lY97JX/+rD9PvUbnPfN5IqG/+3QJSozpNiDcDFxiqX8fz/I0Ay40AMf1UeG3D8AvetwCsbUNa+YM4XKBVuLgoyILw4Zt5Tyx8qmZW2PAm0FiZagcVkPdT2ZEtx7a6urnO39XKhV9khFZmzZSjpOAwxEs8kwzQiXJTofv1LaAYQvuOjDXbXR6B4YTErXLtA+QhDmWpXXnGU4PkfQRdoQgR94zWbI9di4tcetVJpzWnI/vJ0fPqtnZLA5a8E0T4kRHneaY4yYbFMscw1FjLOfh5Z/8JKdl1z89qo5h2L52jJAGRtYRuw1RW1aQwUab7XYbnE6EEPzSc+C8XwHbGg1k1CtzsDqeDcDJgxPgbLB3U5dd0vk7Z5rkrAJhMiaC2hYAeOhTLxyA6/8YPvZ8WiuPPMVqK/LB9YnjHPWa/h5riw8MbS/xNQOuNktQunP4cABeawWY7aTo3CxG7TQ3XPRi4rU9BF/dRbX6zU7bYvGUBtYpbLQSbQY85XQoDlBSM+CmWUQ2Z1g2mqyXZMeCWL9h2JWgjMCAe14xAeAxakg9gyAOukX9BhTi6cqnzt0iPDAaAG/PmD8KvFcp9Ung3N52PIzDyeW1BCUDgHuJp6iV28DyPe1prN71KvjqtTiGgedBw3fwgxLCGx2AhyHkEgDuV6ZhepGFw8v4ia2gc0Av/uHKDLbbwEgkKHapf4JRIoTAyTwWBbBNPRgL4xM4TvcI+MorH9/5u97QXbaQ1PVdntsMmvKeORIDLtubAuXgOGCaF/HHN/wL8bvuhft+DAC3XCSOXEzH7yz4xgDfYeGMxoAbZtwBNTlPIBYfzbHZOzQJ/Wevhte8i+qCBjgqqR46jAHPJQl1MBxkRM26TjSNNQNOfYZ3PNlmb+UUnNCJpkZJJ5oyCaYCpEHpynQdqVdIrNYyEs2WWzFYEZYYDMDf/ex386qrXpV6jXa4nkcosh0DlAFmrgbRZgD+vue8j1dc+Qqesucp2DYE2ERhkmjkp586jRLVeIGYWZibx1918Vuasc3VLOxQMD2eJ5Yt6m0AHo5WgTNsaqAuDZug/ChUZJLf3y3E0Wx2XTOkPIgwNDu8MUFRM+BteUTWZjFCRUnFucrlfO2Oq/jXf4K5ypEOAxYu7MCwQ2So+8FABjzxHtf3liYH0c8J4eF5sGQV+aFbb9WVSxNJSBQ6OodCNbULyhDNqRBdBjxN52qbul/aTgFXjbFvDa7/+79n3pvouBGF1TFMJ8CJwQoMWpemb9R6GfCwkX7CYSSATFlDrAZFwtKPEMrUm64oSs/LkEIz4K6zAfRfdRVPve02AEqmSd4qECYVV4PW6KU/6n4Tz8/Bcz8BwAW3jme84tyLIIwQng8qR6Wuf+vqyqGXAVWrAAAgAElEQVSh7RUBhhkhNhARjgPxCBKUhh9gJmteoVhCrB3ngQtafOkPy6h79hGZ3UrVpeIpTVBIAzHkJFMaJKYBKURGHCKUDV4L0ynB/BV8Y0edsLiUXADkyiS4MX4zmcdGAOC5whhR8j0MqxwdyhCSucuw0wD4tz9n/3fGKAD8lBDiPcBPAp8SurbzuV1+6GEc+VxBe+lm6Je9RDtoFTdnCP/dz/wN//SCv9LtPKg1yzTDEsJtpvsn90QUgZvYDPrN82F2gerpkP3lbiJnHAuC6iSm29TALTbJX9q/IVBCQeAg42wG3DIjiA28Ug4hDM4//x1ceuknMQwLkTCf+6e0c0g+SeBb2rn5Oo5DwoBnHLNH7cRQByHgY+2aH8sX0t5Z58pF4tjBtP2uQ8gAXZ1he9pfOWPjZJgRKmpPPqD+/QaW8tDKAbHFP6z8D8K2bjkxHJJDhpvnWJkZ9H5QR3hdBpz6LDftazJRq8Gpni8vcKAoMFD4loF3fnrxj1IhRxw7kAHAV0MFZoxJdjGRrPAsi9DIZsCFoTC8BmIAAD9v4jze85z3YJt2R4IiYxuuvI165d5v+x4JjtIytsH4GoFvQFXfg7IiVp5tMD2eJ8KnkmT2h63RAHgUJkBOuJTGZ4nWx2FmEdX0OvKMTttoodtX7c0MuOoceafPBaYZIhMN8C232PzGb3yKO9bh4zf8Kv4fTnLqG3mCxiTCUD02dZs3p55td47Zs6RDAIaZJ5eDJWOMq+67j5nluyCpsBmYekPvtF2iUirvtTXgaZ/TMvX9Oo6HJ8b4+EUwvbbG6oTojI+wrn/DiciA2KR5TfrpUK8FYtQYPu8ppToMOM5wmUl7k5AVbWeLOIPsMJIkTNvpH5OTux7F6aO/wd5730bZ0lVbpWpCI0cQjJ4/1AhalHtcXApGdgL+uRaqU8E2z0qgTxDX1x8c3t6IE1OAAUmYnTyA4Runhh90Cs7lyy5nbJcn3XUXN8yuUK3u72tbyK3rzbU0MYZJCYXQRF/aeIxDzWbkWhTKRTj2A9y2XbIy3dBObUC0qnPQ8uFRAJquwsw4PXWLJWSSjDoUgMch7Rx9c0C9iLYGfBiDfq7EKED6J4DPAD+ilFoDJvmeD/hDFnmvMFICYbuL28XNnfOaA9fw7AueDWg2phpM00rASBSN5oQShuC6PrRcjPzlMDePtxSQG+9OxC3fIowdDNfHQqGkQfGx/QuJEDrpMI6zJ2HL0I4jZk53yz17XsfU1LMA2L//95mZeRFzkf63a+mBt3RgwJF3h+XL8B1u6zMTPe74AKKmOFYkih0Mx9elhId4ZBuOh4osRIq3KWgJShuAf+UrwOr5LCZ7lqf9O3x+6jEd4GAZCQM+xMzVc7MlKEHYQJgSKT1KJeDOn2LVKjJZqcDStp6GDrYXYAhYGR+c9Nkb5VxuJK9jP5BgReh9+7cXnmEQk82kSkNg5BoIma6dtW0IlMvEnGaujp1JryCYFUpBLjpCKMagWCOQgvFT+h7WZ33WftZlasLGNyAwBMQG0YjFsToA13CYyI3TqOrxdKp6UUeewbKWo/l+o5NMO1CCMsKRN5Aw25oB37MHto9P8q/74RU/ssbzL1vmJZUmQcJkiaSKLQMYcNfu3SimgOHkfkw7rxlwQw/IAytnO5Vp7fICBA45L5nH0o7ZkRCZqX3FTlZ5x82RN8Z46w/CwYmKloSd3IWSBmFTL/YlQxGYBtbu9L5sWRAmdQviFPenalDFTpZg0xvuie+M6AMuDC0rSPM9B7QczPUxNkhQZouz3D/p06rdAUDJLaCoQKWMH47OgDejFmNGF1h5+dE2medUJASAEDnq5iosTtPyjw5vL2LNgKvhDLgM0gG4kczJpQmX484Ub73xRgBON+f62ha8qiYoNlSm7osRGXArWUMnp0pw5Gpu2w6RG8Gb3wJH99I8pHNDdoQ66fxz16xhOOmwMlcsE7dPftTgzxypsLNXGcyAtzePj3AArpRqKKX+AVgXQuwBbOA7QBV9LwZFPp9DqmwAbicMrVVO91IWAupsxw/bfq6jMRlRBHauiaqWGdv2IjAlF+y8RTuTnNILvmnFBMkRteW1qHsm3gYJihCGBuAjFHIwzQgCB2MAwPW8PVxyyf8lnx/XE4urB64a8PldN9HVZTDgIgHgRgIOB7l0jBdzCQAPug4hg6pStj25M343www14wr8wR8Ald2su/DOP/1T9h86Q8EziNryoqSYzDAGPGfbPRZWQyQoSTEfJWxKJZh1zmdl/TGaAUfAW95E846/hsDBtUKEkKyO4FZSzNkagDsZVmsJA47x7avWXMMgMNsSlJTfVggMrwEiG4D7uLTq+gO7Ym9q+6yoVmHKPIllWmAofAF37dffjWEFWLbN2Bg0DRtlRlArEo5aJTBhx4TpUchZhEUN7D43fVlHyx+fnQUgDBsdBtwawIDHcTYY1vccdiQoAMWCgZQOH78Ymg5gKG1pCBhmAjSNAQDcMXTF1oz3NBNJjGl55HLQiHWS8LbKegeAe2NLEDgUxxIAnsKAy0QHn+Z1bCT9yXNzFJgBAaeLsS6098UfxLz7GR0227MjWo6J46QDcK0B199Dmv3q2fpZ7EQzv+P84QB8VAkKJhCbRClA7uRJsJQB/4+99467LKvLfL9rrR1PelNVdVWHqs6R0E0SkCw6BCMyjniZ0VFgRserXFQcvOOIOIYrMhhGFDEyOIaB8eplHJmr0KCjgjQK3UBDVwe6u7qqK7/phJ3W/WOtvc9+693prX7LS4ff51Offvucfc7ZYYVnPev5PT83wXG3/ua+vsmSfv3TXg/AMOibxP31IfEOLGwn8ZRBifUOezsrAPdoCGHHH8fpE8WrpMf3k4h7648XGqESBNuTMIuCUXH9c5tEEbnb5nA54JPuDTz785/n99/2Nk5lpez21RH9YBV0Wlu1GUBIhW5xQVFpjKNM31leHiBnK9zxd7/Mq/7yL/nJV1/Hj33ohcyOmDFzv2cWaF+6ul1q2h8ukKYtDHgWI5UZO1VVJUzy8eQxDsCFEF8vhLgLuBf4qP3v/7jQJ/Z4jV7od6oa5+QgrddezCTSB5glphHvhAH3ggnZ+oh9yy8gWVug94L/F4D0w18NQOBlxHaikcGUk8sS91zmVEmY+WS6vWMqJ0HP/NoJFWC44Bu5RM8AeifYvgNQSFDanB4s4yaVmVBHpZ38vPDnqO8XCVXKSWpLXyvPSlBaAXiCtuW6X/lKePqTFtDC6E5/6g1/xGQCsZWx5OXUq3S1AIHvFHKCOmCj84Qsq8F+ylNgOr2E5bU1I+P9yEtYvPKZBtRELsiM04vtiS1hKEqDaP2zFTGgUsQuAHApBGnBpNY/W0dbn2PV3DeCACJ8/vaDbzTfmXbZEKyP06dhjzyKL6z1phJ84UrTxjwxw/V9RiMYywCtIlgfknTc2hfWdlQ4IUEAtz1owNNTf+ssfN7IsqIVs9iK47HRgGcSWakBt+xsw5Z3mtrFYjIHDL0e8Kufhp89DseeAswdHJQF4KLC292UhW+XvUh735RjNOBEC7zsWy5hZW3NyEGO7udTn7gFIo9+0FwlFiCziWZ1GnCtKTzEXT/kS5+7CP7sP6IFnNgLfOyFXPrQL5NYP3ERTkiQJnm6IRwHojQH4PXEw8nxSVzbt6+6ob7cfFcJinCEYcCj+v544nRMviZT58heAidg9u9mvO3FxlFnFPTJhAHgKTsB4BP6zhyAu9ffwfrZZl36oy2kTY1zvQHZeMLmkWvRi5+vdTKRQoIbI85JnysD8CyqXyiOp5HJeQCGix5r42s41ofltTVOeaV8nWP7GQWraFIzV1VY5przccyiWDQVNItxrM2s5w1MTZF/+B7e/1/eyCd+6xDL6a+QWSIwGNj+WDNXlWMw6JO2SFCyZIK07Puc7Z7HfIf2MQ7AgZ8Ang18UWt9BcYJ5W8v6Fk9jiPs+6S6uYpjls2VZF18MH29wswm/sVRt63EWZTihJuk4wGDgWT12EG4/EsA/NfwlfY8fKJSFvLxFYV7DgPmKZ8s9tAdajcpJ0HHzUBttBgYAG4TNt1wO8vp+5ClopUBl9gt78JTdP7e28wcxN6loBgsnByAVxT+UH7YqfiPdJItoCbwBf/zKnjns+H7+EXW1iARZqD1bDVHrasBRq+DBIWcDZNzAM7GfpbW1/mRn4K/eyrccPMVhgHHsNUb9VigiDCEJM217PXPVicYBlztjl9rPuA3V8K0ALyl0mYOwKONIWz0yZJHplU9cwZW5AmGmHueyh5MzfMJmOH4PmEIE3yEmBlmseOCGPudrmv00b94x9U87xVw6f1nOf43Xwcn9nDnZ77F/G46Z8DPXcwaAG4n/AbGLUmsBKXUVsMQOHk9jPfCPS9FZj5xljPgM3QqEbWWgO3PTRQA3DO/NRvy4MoRgigyDkPf9ntEG8+DyCMI2jXgRbGRGtCfphSJbU4QcvYs8PlX4WTwxevgf/9FuPzHLyfK/Z3DCRkKP2zuIK4LcWrOadYAwGfJDMe254suqgf13Rlwo+vVcZObxhRPmvvseNtZd095BbhZ7PfR2Sbp5pBsJxa241UC1wCytYcuguf8LZ//wl+0fOrRFcom2/thn3gj5sTRpyDcGWfPfqzyeEcqUCnyHNs8z4Ok6I8NADyakWPO4dBHrF7Oi78DltfXOVsmTNZGDIINBBkiVTgVjl0AQihTm6DBNEBlSQHAlRpw7bXm9XtGz2Dt6BXcfFOPzO4guX3zvEUHSDkMg9LObfUYpOJNlMgBeNXckc97j30AHmutTwFSCCG11h8BntH2oSfi/GLgq1YmNY7BsSCtCwAP9DJRbBr8bK1bQYVxFOH2Nkg3h/T78PkNs72tTy1x8doH+f4f/RgPnPkISTrvAJuBRJ3DgDuqZ/yiRTsDIp3YVpOsj96SBeD5tZ3rAkNJA+6kjfKIHIC77nag9sY3GoZsoR8UA2QOwPvXbp+AnQ4SFK3NNmRW8oJVCpIHXshPP/+FPMx+Vlchtd/heQYQzoIaCYrvlJjFmsE7sc4SloE+dAiYLNObzfj4s+Ft/95ndMAx2nsVg8pIWvTfYMBrPog26ftlKowNYUcWry3yhKVGAI4HboKq8I8tRxBApAMksU0UfmR2aUeOQD+IWbTWgoPgAGIyf3au7yMETFVg+sPGgCTtxoAXbdXrG2ejaC+//oJLuOz4cf71L4T88Z/+AJ+975VmR0RvGja5Qh9dlqCks/rrjSKNcKMtADwu3/KP/hjPvfMvickZ8Bk6U5XyMddl7tbT4Eji5ADctQz4F7+O431w0pRfez38zaEAZ2QqzrqePfdU4e6pblsZaaPXcZJolE1sU0FgJGHrlzBx4Hd++qf5vkNrSFeyb2C3+MMJmZD4/WZpU5kBbypAFmdxMY4r1QDAO/Yd6UrD+DdowDemE9wcgAfN17HU70M6Jpn10aq7jltunMIPTW7D37z/eQCcve+vOn/+fGN9/e/JspZdz12KHBwG/QHrccDhjZvQayPuvPNfEEXb51gpTGXUc+drx5kD8KRh52Iym6GKtuLRiy/nzr1wVq0ZuVQekYcfTIEUUlkLwHMGXDfY5qosxrOe/0r1+eAH4Yd/2JI4wJVXAtYRzOvlALy9uvGgV65fUY0LnGjT2DZSx4Dn48xjH4CfFUIMgL8EflcI8QuYaphPxAWIYSBaGfDxNMaxDa+LEX2P5cI+MFrvNuFPoxjV2yCZDOj34X1fGHHm1CKj93v8+//8Xj7zV89nz+INRblngERWVKRzBmSJB7I5MQgMA57FzQsKOQrRJZDe8yvK1HasLpazGM45dlxPmtccIXAC0hLLnyJZfM5W1wkwVSmz1Gl0XkmyBOnE2wA4v30r/8q/FYC1NdBuBpnAszr3k4eqv9P35NxdoqbYiLCAJx/4l5YAmXDF0aMcPHaMP3zhtUglyBIXZYvqdAHgYThPHkqbPN4tAFe7BcDtucUNYNm1OkvltTPgMx0WADx9hAD89tvBD+Gmf/5vAdi7cA1qPL+Xjm+eQaRCpJjB2ohUd9PHCmEBeDAw7PB4hf/wkpBnf/7z/PFbv4+f/L23stkXiJmPIzZNQl4dALdtJmoA4ONZjHQi03dtbNkhn424mGcWCcO+HyEySXpxMwPexPLlDkLKDcxu1OdfxameAeC/923wI1+3QrigjAuKb8595gjCa6qfcyYwNRVqxoBZnCLtmOWEIT/wA0Dm8Jal13F9EPD6l70MgMXAJkX0xiSo4jnWhetCZBnwuAGAR2mEdOq32d/2IrMNJzts6wNGbtBSXGUcTfHs3OL47QA8y8ZEcR/cbn71AHL9FF64RjbpcefmKnp9iJQfIO3ghHW+8eCD/4nbbnsaJ09+4IL9RjkcO3eEoz6nWeLESCPe9A7i6AQPPvhOADY24Hd/Nz/eMUSEODdHam6XGTdo96PpxPRpzJy/Z+0lACTpOv4MeMO7+ch7XwvTAMeP8BKFEynU9dV9w1G2WnQLA+6qHIAPWF6Gn/kZePnLzftPfzpo37RzNwfgHcb5ICj55Ncw4G68iVMA8Mc3A/4NwAR4I/BnwN3A113Ik3o8x8CXZLqZvT2zdqZle2Zr9OQym5Yhna13Y8AnUYT0p6RRiOvCXXc/mVfdcZZnXvsw8mmmcMrBfQuIEpiMKxOwBqQdAbh04lYJigjDwkUEoFcxGRZJmLTYnln9m1eyOZpO4VOfmh8TOEHBugKcXlS4YZ3VWrMEZRJFCCcmS+eDcH7LrrSVvi+5BLQfQezi2GJLp66o/j7Pm2tr6xJ4pJ2MpWXYlpaAzX2MVcSXXvMaXr5iKqdmiYu0oCapeI7nhpGgmOtIZ/UMuBMLY0OoqpmYnUb+LBoBuJ3knA4APNIBKptZBvyR6VQ/fXvCaDAoJspLl5+EU6IqcnlW5PRx9Bg2BqR0A+DSuusE4dCww5NljkwO8zNfCX+1cDu92cw4g00DFpZPFYWxmgD4rAGAT6LYMOCl/p0D8Ctse+z1KBjwwIsQqSS5fvtzNgx4e6JZriRx/JCbbjJ/Z/GAb/3wh7nqyBH4o0vo7/Eg8nB8A+ZOrujCnu3cMC4ojqkKWHmNESq3OgvnbeXkh9+D/7Y/NjcL6OWa796EVMhtMrtzw3FglvuANzHgaYywbk5VAPxHX/ij6B/rXhzK8d3W8uIb00kBbJRTn/gJMBoqsmRGlPQR3rjVN744j/Fp/P5Zss0FxrOMyXgZZ+8Xue22p7O6+r86X89O4siRvApod7eWRxI5G90f9jkjVohGJ+Duq3HTy5hOTTLm93wPvPa1cNttoLSyAHz7/JYz4M0AfFzkSEjpcfBAj/3/8E6mYmzyk++6lo9MTpIkHsqPCWcemZaEr9lT+X1SulYDXt9W3DTBceYAPI83vxnuugtuvBEu2XupOdaSRVK2j/Nm9zSvX1HDgCebKJk7zWyf44fDpwGwb98/a/29L+fo4oKyCewFXgGcBv7QSlKeiAsQvVAUHpl1A97q2mkcUnQmCn/sxu90eyRqDTb6RJOODHg8RXoz4/UMHFLPMuck4WXPMhTx3r2CUM87ZlLRmgJvgTT1kE43CUobACcItgDwYbAdZJVBRlN533wR45YSOX3fAIbiu5RHms4n+CMXVVv0BZ7bWn1zcxZtY8DzuXw0gg98AD72MTiafMm4wVid++kbq7vpVj1vNciQWc7ylwD4J76Xq6/8ZdIjDxbH6dRUPANIawDNlusNICmkDPUAXKUWgHes5tcWbQBca11Yyzl+s1Y3CCDKApQ2C57WsuEtccc9J3nK515d/P/VB56FuzkHUE7ebtQKiqlJbpOrzS4yNvLdmt5wwQDwL3wDAG/5aviRl8KqDxsDYOYzWjpTSFCcpa3jg5Gg5Ax4fZ/cnM4Q52jA88Ovu878t9+Hma0sGgZT4yt80/b+WPY6bmLApZVeuW7A4iK84x3AdJGLT53i8GtfC0d6LKwMSRMP1zXP6ti++nuXJ2HWMeDTKJ7LXs6RgPRKTWdUcj1JhZw/x9rrgKkdDJt83qNkhmhgwHcafujZ660HVeNoauotAFI2A/DhEJIkYZJaz+ekowwl2sRbPkZ6dj8bapGPf+Jfw/96LuPxnRw50q3q7c4j99L+x9mcz8GwG/bYdPaivAdJlEasLRNFDwMGpIJhwh2hYM9JXL1323clusNuyWRS9A8hXJ7xDDh21wH8RPPhl8Dr3gM3XvVOksxHujFe6jAOFGFNboFyPONg1FC34lwGvHhdwdW2UPW1Vz7Z3I/AOop1ZMDbfMC9eIyypEMVyRiGV/GiF2n27funrb/35RxdXFBeB3wCeBXwauBvhRDfeaFP7PEavk/J6aF64lhbPYUjUnTqtPo1g0n0i50zsDZi2rGi2XRimLkcgH/tda+An5jCT27yRz//fO68E/bvh6AETuMK4BYMlkhTr7VkORgAnrVowPH9LRKUUbB9gHGcbppTkWd4Vzip5LG3t5estMtlrZa3ReA6re41k1k9A+778KpXGXZx6qxu0cLHB6oHUVPG2PxdB2yEXcTlbPDSEpA5nP3s96AuLhXiSUzFM4CsowQlS6wGPGoA4Jm0AHx3JChaApkgjqt/0+hqzf1teq6QMzG+AeCR18mppynOxA8zio08aXjbL9EfrtCbzieYnDlV7j5cPYG1EYiUNG0HNtKCpnA4NBKUu78G3n0b3GO2ou9Zgh/7z78K04B+77gp+55J+k/aCrLKSV9Rk+3ZeB0hs0oGPAfgvR5EVkPqKWEY95u3V1A17bQdgOe5zY5NchwMgKNP54XfAU8f/Tfz2tKINPVwXNN3j1zSwMraYiOaOgY8RhWs4tZJvkSIM+zP21Ei1Hanp6rvtkRC1GAzmUTTYsG+GwDcC32zCGrQ9W5GE9wisa65fwwGEMUwyUwbStNuiZgzPcPdc5R07WI23BW+mByCf/eT9PkKougoR4/+Nh/9aMCDD/5CtwvrEPk8mCTdk0UfSUjLgLtByMTZy0Wrxzl8NaRHFwoAnufunjkDoRfD0lkCfe227yoY8AYiI55OkHIuO33mM4H1izmwAVc+dISNezSX79tDkrpIb4abSdZ7Cq9mt0a6vmXA69uKoxMcu9BVqnqxFuy1DLt1JVMVnt3bPhPMbTrrNOBuMi5kPrvRN75co4sE5YeAW7TW36G1/nbg6cAPX9jTevxGEECqmz1zN9bPGju7tBuoCQKYOmdgfUiUdgPgyeQkAKktHPDMZwKpD3EP359PwgNdBuAV+s/BImniIZxuEpQs7cKA56tnyWK4/R4IMU80a7J2cgoGvMGDV7kEpYmqTp4ReC6Zlo0a8EmUINy4cFUBii3wMgn6huf+yy2Jpl5FoinkEpTmhYYqAHiJAa8IkTlzAN5hWAhDCgeMNKpnblQqTSl6d3ckKFoZVjOpAY/TZFpYu7ktbhVBAGQ+YCQouoaN6Rpj9yR332ju96X/7CrwfZbW1/kgr+Q/8H8WzKkcXIKbbsK6AatxfJJjx/4zk8l9td+tZAwzj97Q56KL7ItHnwbv/QvkQ8/hn/5TyJL7YObTHxoAsN4XqHPkUp4HadKBcRubnbIsawbgMztGOW5KqhVq3/Z7bhhw83cjA25BjW8XTsMh8Efv5bP3/gGfWvsmAFbllDR1EbatnlluYcBTBTXFRmZJbIp/sX2buwzA3cG8/6VCtTLgABO7gE7T+kJL6WxSWKV2kRK2RTgIzfU2gKpxNMWVOQBvZsAHA5iu72Oszc3oCm4ztYlaOEu2eYANfx/R6CEA9IklougoDzzwc2g94+zZWzt9X6fftLtXTfd7NyOXmXlegCOWWT57ks/dKEjuGRYAPN+UPHYMFpYMoRWI67Z9V5zLsxqIjHg2Rcl8seYZBnr9Yu5ahrtf+1rET1/P3oUBSeogvQihUsZ+vVxKeX6ra5cAPCcH4NX5At5+C8D7ZudBtnjkQ86Am7+zpEaComc4DQz4YyW6APBTQJmiWbevPREXIHwfshYAvrl+BiGTLUxqUwQBxNkG2dklErppwBPLlKeZAYIHDlQft1Dq4BnbJyZvMDKuLl0Y8FLlvdrwPIjM5Ka15KXL1Yiy8DpuyCzPfUbbgJrUcxBTl6AYei5Z2uw9Pp3MwIm3gJr89pVZ9msvvnyLFKcRgNuSz3USFJH71QYlBrwiZOpAaO5VXeXNcvg+JEmu622SoBgG3HV3hwHPpJFWJDV67Uk8xbEA3O81A4wgAFIPyRRil/QRMuCTKzYJpPmOYLgEoxFPu+su3sEP8he8tGBOnZUr6Edj4lPGXePUqf/OnXf+C+6667trv1upBGY+/tBjZQXe/vb5e9mDt3D3Cvz4C0/CNCC07Xp1UNEfvfmEHzcUiYnGdgesJEF5njG0KOzI+n24ZPkgADKYkUiJW5GT4brWFhTIapKFgYLh83zTVgcDYDbCv+tbimOuv/TmoooeQFZhCVqETcKsq/Y37ciA+4tzVj8RFbUOqr47cU2l06xeEpFOJ0Z2lyqEaHePaItgEEDiFMmsVTGOJ4WuV8rmcW84hPHadcySHIB3A7f+0Cze9PRSZs5eVjaPcMdTMma3DxiP72Q8/iwAk8k9nb6vS+QJnv9YDLgq2qpPIEYM10/y4KXAiSWS5BRZFm8F4CPTn0K5nQGPdbsLSjKbFLIXIVxTs2L9El734v18/9f/KMc4wNWX+0VeDsHU5CvUtFXpBujMadyxlRIcZ4LWAimr82m8/UMzH1sG3G3xyAdLMuaSoRrHHkdPccRWA4HHYnQB4IeBjwsh3iqE+DGMB/gXhRBvEkK86cKe3uMvgmAOwOv8azc2ztiBuzsDnsYJs81ltNsNgMfRWXsOBggWrNs5sceZTxxZBXDzhwvG1cVJWrWu59qeVR8kILYMuBb0VfXElQPaWUNii5IpzDy8sBn0uyWWv8rpBSwD3lJ9c7q5gXDSQv8Gcx6ZnwIAACAASURBVEunfaViZqHvb9G5BzW2Z55X0tbWMAmK3HLMDKB1Bg7lDQpR4zteDiFKGvA6AJ4kSG0KUDje7gBwBJCq2mS+cTTDsc+oEwDPXIQ2DPg0mnH48PmfWuKs4ytbIMoZwsICT374oeL9nDldXj7IcGOV1ampYHn48PeZS2twNJKOqRLrDcwD3NIfj5qEpLXFDZj5BHYRuFbRbFx3rgFPGra8o7EBMlmpdPb73gef/vTWJMxR3zqEqIxUSpyqXbAtDHhDf7SV7zzbVvNiWHEMr3iF+fsrDj6n8J+3n6r9PiGk8TqukaBM46jEKpr7mivayso2f28JgMtuDHisXZiEZLoDAG8jHTpGsJgD8HpniNlss+Tt3M6Ar519MrPM3JuuEhTHN44Yir0EcsQlxx/kY18pSe+Zl9gdDG5mOr2nU/5Dl8gym79yngz4Ts9Dku/WhARiRG/jJMf3AWcMw/HQQ+8qLBGPHYPA5te47nYmKy7G0XoAns1mSJGiEyM7XVgAkoDVdx3lNW95G4cPwwtfKAppB+GkUS4lvcCaBjRIuKTEdScQhbVSV2fZhWkAga1T0JJ3A0Yi2pYT4uhpwYB3cXp7tEYXAH438H8DeQv9Y0w1zKH990TsYvj+PEO4jgGfbK5aCUp3BjyNMibTJQhPd7LuKQC4No1///7q4y5en2+GXHRiO7gPRouF5ELrZhmKsT1rB2qZZW6axsycAW+yWlMygdjFq5CxlMMrAdK6BMXQtxKUBveaeNNMDmUJylvfCn/xF/Cc55S+y/O23If+oBqAm5LX5u867988Wz8YtBQPWZvLEZ565EjjsXkUlTDrJo7Tp0FoUBleh4G5S2hrr5fVgMfJLEbmxVV6HSQoqYdgCpHHmfUNrrnm/M4rTSF0V/EsAM+3bL198y2HHLhdvLiHYHyGE+US0jT3j4IBH5TsJPOwAPzAwRvIIp/Abiuv97e3VSnnRWIaAfjUFAgq79b0+2bBeMUVxo7sVa8CP5hPjqmunvCNDaH5O+kgQclLvefNPo7hgx8099icUwl0NzDHAoVO650epnFs7itzAP6pT8G73rW1KJczmAPHREiGTvu4G+PANEBTL/OZTKaoc6qNPpLoLRgJipD143s8WS85W7QD8MPrLyCyC5540q1oVJ7kqbwRoRyx9+QRHroYOLVSHDP79QOk6QZxfLLTd7bFI2HAV1f/lo99zOfYsfd2/swWBlwNcCcnDAD/3I2wPuTw4TfytV9r7EiPHQM/mME4rCyrHlvCLa0hUQDSaLZlzi9XbR4M4KqrzN9F3+iNzY5UDXBWvqlb0cyAC5QzQSf146j0JLpkRB5VmCKcG0K0S9JcZigZoxO3U57bozW6uKD8eNO/us8JIX5TCHFcCHFH6bW3CiGOCCH+wf57Rem9twghDgshviCE+Cel119mXzsshPi3pdevEEJ83L7+B+IxskySsl2CsjFZR6gY3aaXtuH7kE4zJpNlhEqJ43YnFB0Z1ZHGdK6VlerjRkfvL/6+7r4vbXvflJ3NLYeaAbhwoyLpsylkZjp51gDAC6/jBgZcyswU9eg1T4BhidmvSjQF6PlOsQNQZwOWTnNWcT6Buy685CVbj3NKVotZJhnUMPSuO6+SWbeVl2+xeyUW/d3vhj//863HBYfmyLOfdGODcgY8SapBhj51qtDYui2WgJ1DYQB4zXbtZBaTO2GpDqXoST3QBoA7ve7lts+N6RReMrsTz5bgVsrqu6+6nB953/sAGNjdmqcdeBrOasrJpVKVyfXnE0XHar9fKeNV7g9Nf1xcLL154iaYLHLLlS8lTn0cW6RmvcbmuSjE08BGRzPb//X2tieEKchx4AD4vfnkm1HtEFJOwkwaisTkrj9+WYKCAeBCzEFxWYIiZAsAz+qr/UVJjJQJOplLQG64Ab77HCWQuPraYtft+rvvZKWDnCpJPQPARf0iZ32SIlWETnZn6uov2iTMBlCVTtZxVITOZCuzOBjAvRvPZWZBXbTZrX+4Tu4zPiSUIxbOPsjRA2A0GibiO54LwHS6fc7YaZidYvObXWUy5ZhM7kLrmMOHu2/o52XhnSCg7wwhOs2JvRncfTW86gMMJ6/gq77qXQiRceyYLaq2NkJ62yFXbOeNtMEGNYtmCJWY9sxWiVSZnwnyRVU4IWlw7HH8wLSBJg24lDjeBJ20jN3T0hjgdxvn26p/OkQm72WX+saXa3Rz+D+/+G3gZRWvv1NrfbP996cAQogbgW8FbrKfeZcQQgkzKv4y8HLgRuA19liA/8t+19XAGeC7LuC1/KNG2lJuexrFpmpk1o056fch2hRszoyFR9NEPz8JOwELs2Kvs74VJfnBrILlDANZAM46yyGAOImMPKMDGxQS2O+rZ3qyQlfXZHtm9MRev7mTByVte51DSOg7hfNK3XOLNtftubUwaL5f3AetFYOaamZKzRnwOmBTsIolHfkb3gBf9VVbj3MOXFz8ffaiGsH/OZFvncY1hXiiyQbK6eY53DmUgMQhrbHQm8Yxwq33Vi6H72MZ8AnELsrp5nNcFZMJvHLtXlw3Z8ANAE9uuoH/8Bu/wR/80LdzY9/cg4v2Oiw+sMjpZeDvb4a/v5nJR0eN/VIq0zd8y75uAeCpB+/6LG94zg8QaQ9pt7vXh9VtNbbtNGnY8o4jIyMoS1CqIuj7tuKNIQ7qAHjeTuMmF5TCWcI8t7IEpRxZOgfdjTasQllGsJ4Bl06yRe5VGUtL5OUG957tBvAy7aNnAaj6e7w2SUzxq10CGcNFY0MoVAMDHm3gOhN05Lcyi8MhZDhs2vEqnnRjl72cAQ8W6DtDgvWjBoDfYSucaYlp/LA+e6jmW7pHls3Hn64ymXJMHjALi7Yd2nLkAFx5Pj015KyfEWR2gZK4JLc9kyCYsLLyEEePabxwDKsLCHf7PU+FgEQ11iHQUbSFAS8/ujIALwr9OCmJVLVJmE5gJCg0tBWkNLUhspYcqem8/3z/xTVa1XOiYMBriaMYR0VmbHsMxwUD4Frrj2F8w7vENwC/r7Weaa3vxejOn2X/HdZa36NN7/h94BuEGTleArzffv53gG/c1Qv4/zHmjHEdAM9Msl9HAD4cwmTqsTEz+9ZdALjOq5ZVmOCXQ/zObxcT8IOXXLrt/a2SmvoBbjw1E37aQVYjUnNOVUmfeaQFOGxIwrQ+wV6v+RoHpW6ia7qM74tWpj8e5y4jLQlXQWBsATEJkaFTf3y+tV/LgOdbpWEzM1GWazhdWQy7UxMn1fd4Nt0s7POUu8sMeA2Qm0RxwaS2AXApQQkXoSPSxMNxEvjBi7jv7H07Pq3JBB7uD3DciUnslOb5Rd/8jQjg+XfOd4pWVuDa0/cao5s3vdP8O71MFJ2o9f6XKkUnbmErti2Zdv1iFocBsfbALiSiCrYN5jsXdXkDAIldVOmWttobeIVjT1aT9GUAuJlxuzDg0hbAKTPgW6IsQWko/KGEMoCllQHvMI7aa5x2nDGzLCCbBghVz4Af/pJGuVN0vDs2a6OBapWgJPEER3YD/Z5nnt1UAokinnQrGuXmu179BfrOiDUvZjQ7Awh41Qd48xdfz5cGBoB/af3+hm/qFmk6v8fnI0G5/z9+Eaifb6siH1eV7zPwhpwOYTCZ8L2/BJ9+Ckw+YlbIl9z05xzb9x48f1zLgGdSmyTwph3iOLYM+Pa22i9xG46cv5/Ieg2444doXe+CojVIqZDuFLLm9inUXIm8N+imSi7qdNSNBzIzu0Md89werXEhGfC6+F4hxGesRCWfRi4BHigd86B9re71FeCsnu/1568/JiJr8QGPYw1uDFm31eFwCBM9JEq6J9NIm9QiStv4H/oQfPSj5xx41VWm+AOg1PbzKQPwJgZ8PDXJSq3sMCDsqrhRgmLfa9Sc5gx42Pybg9IgVgfAt1gC1gyks7G5p7qttLTvF04vmW4u/JG7oCQ1NoR55rzXos1zSgmLUnQb9BLLRCZxdaLZqVNjlHW/2S0GXDrSOFvUDNybk+4AHEyhJZnGpKmHUikMjvOHn/3DHZ/XZAKR6+L4Y2Q6p6R6l1/Dd309fP1r5seurMAPnfkFoxkF/uc3AWcXgXp5mJAZOlMo2xa2MOA2whAiShNwjVY5t4/MahZOUFq4yua20B+VAHiDBKVI/Gzw5c9dUKSVeOQAPC/6kYeTzH+jqfCHFI51eqixIYxjpIq7AXDLgH/iim59I6OPjkJw6u/x7XdmCH8KuwTAhz1FljrNGvBkglIROunmLDEYgNBj2OwTT7tJUDzX3G9vOGLgDTnRg4MPH+O73wXf8qvL/N1138qHb7Fk0KndY8AdZ/m8imlpKxvbCQMuZIZOJVI6DLwhp3rw8NISn30S/I+XA58zTPCl3/DDDF78r/CCzVoGPBPS+NU3AHAdRwiZVuZ9lROGg1J/jRs04G4QolNZWzguSQCpkCpB0IwzlJyPd0FHoiVXOdbZ5wqVGQnK45UBF0K82f73l4QQv3juv/P8vV8BrgJuBo4C7zjP79lRCCHeIIT4pBDikycqEgW/3KKtEE8cG2cJQbfJYDSCSTosMqS7VAsT1iBfOvMO9TVfAy94QcXBdnKqAm5bCwvVDzBT60mcdXHgyNoBeFYw4C0a8MTBD5oB+LDEsjUC8JaEyNjKJnSb5Zjvz51eakBNHnkVtbTG3k3ZrdKgjQEvJWm2erHbSJGQKKKoupDM0aOb87LXu8SAS8dOVjXXuz6OkTuoLugpD5HFJJlXfK7n7jxhdDIBRAC9MbK0ZTvwBvzm0+CTJXpgcRH+PvkK/vq5J/gv330bf/ISYGLzGrJqOY+U2Rb3nKr8UpPsWOqDNfronH2qs3IESO3CVbdU2l0e+AUAT6iXoOQL4rQRgGuIXJRnzlspk3x5661bj3NKOQpNBZ5kLkGpseWLZlMLwNsX/druuo072tnrrEcWBYiGCsCuSpHeDMnuAPBQSuM41VCNVycz1A629hcWIMkmsNlnutlt7nSdBMYh/mKPoTfiRB+mrsedN8Db3vcfAfj0DT5s9ElOPnIAnidgOs5C7ZxZF1rrov4BZKQ1FXbPDWXJG4C+H3AqEIR2fP/U04Dj+0gTh/3Lx1megOdbAO5VSFCUsDao9eeuY5OEWbXrXe5yi2reQGOpamVGbhigtYKathLHIIVv3m8ZA6Stk5GlAl91W9gl5Hko1deslUaq2NZpeOxGExX3efvfTwK3VfzbcWitH9Zap9rYcLwHIzEBOAJcVjr0Uvta3eungEUxFwDmr9f97q9prZ+htX7G3r3bS8F+uUVbMl+SCgPAKxKkqmI4hLEezZOvko3Wz0hhBiLHa2cuV+08P55UVMIMujHg0/U8QbHdDzdnwJvs8vJ72OT0IIUB4E7NVn0ei6WS7b1Z9YDheaVttRrdeZo7srQB8CBARLlzjOJgnXcgkNpVSB2wyQG43+II4g7nzznoUEwBMKNH5BHXMODT8RjH+hsqd3cYcOWZbfYsre4bG+O48HffEQDXLlJleBmMGwpi1MWpM2dIZQ8uvw8vubJ4PaxYeChlJCQ33Bbxug/+KCf2Uixiy9vp5RAq3eL7LwT83M/Bxz++9bgySBc17HCcu9c0JX3ZRaRUzZPvnjDYwoDXSVBiO8/XSaXALDJ04iDU/Dte+Uq4+OKtx/klx56rG+wtpXTM/ahhwOPZ1GjAO2xzi0P2+TSt+svH0yeNArOFXxOLgYZwgtvix901AimNtVwDAE+zyOjOOwLwW26BsxsZbPYZd6yi7LopTEK8gcPQH3CyB8qyE19922186vWv5/l3fhhOL5NNHu70nU2RWxAqNaqdM2s/O8tKALy7htyQN6bd9ELBaTfkQ29+M9/0sY9xYi/MPJd4bZFFF1YmGAnKxqBSgqKlMrvITYuHJDbGCy07xHtKc0V/vT5fIfA8skwaJr/CFS1JQOkAnKR1RzQf2zMt8Cp2watCg/HJr5OISo10ooJse6xGLfLQWv8/9s8/0Fr/Tvkf8N/P58eEEOXsrm8CcoeUPwG+VQjhCyGuAK4BPgH8HXCNdTzxMImaf6KNz9tHgFfbz387xh7xMRE5Y5zUrMbTVFkGvBtQGg5hnC4QW810PGlnwKU1wXf8duCkLQu1VOGU4vvlIhwNAHxsk746qKIWX2C29xZq7Plg7jPaVIhHqMwUwVDNrHtY2qp/0sPVLJCRoOS/WX2diV3tt7GKZQmKSjKe1Hid9r91EhSrxwxbGHBvYf4bhw52pPmkhJlPklS3p/Fkzbh3AMrZHZDheo4B4Fk1yDASlNxarp11d8INyCISO9BfNoaHVndujfahu36L1HXgynsIkluK12WN3GjPHpitLnAimBD1J3MQm1UDcCnTwgEhjx/4AXjWs+Azn4Hf/V3zWhmkBzUTZ5LlALx+ws/fEy0AXPZ6xbmLTHMw2L7ocRxLGtDsvCJVWoCapuitzndcvnJvfd9wlIvOnFqdazqdWDep9t+UdiGVdPSLFlnfMOBu/fUGmQB/hhS7szsUSEmGMuNazXnqLEaqqDN585znwP2nPdjsE3X1AXcSmIQEQ4deoDjh+fzeT/wEb/+VX+HP9z/ELYcP8+b3v5tsdQmRHO98fXUxl6AYAL4TT+8PPngS/PkzSpJuOnezWDREShDAKafPzXffzXt/+qcRaB7a78LaiJELK/n0EbuVDDjSyupq/OoBRBKbvK8SAM8LY5WjV+J2Dj5QX9QgcF10lps9bO8fcQwSD5wE0QLAhzeZapgJGU5DTkY58iq1dTlaQloGvGM7fbRGFw34J4QQz87/RwjxzcBft31ICPF7wN8A1wkhHhRCfBfws0KI24UQnwFeDPwfAFrrzwJ/CHwO+DPg31imPAG+F/gQhpH/Q3sswA8DbxJCHMZown+j0xU/CiIH4FGNu0QOwGWLNisPA8AX5+4Hk2rJQDmUjCCVrf7RAMI157FYUWXR9ymkL0lTqV2rAdcdGPDBdeaHGnIT55UwWyQoXbzU5c//bPH3+lJ1lreR2rQw4Dn712CdBoDjkGgDZCKaPduLbPKaBCKpMnQmkC3exc5ovtDqSPIZR5LIqwWNm+O1ouhHW9W9ruH5rt36rQbgGxPrbJEZfWZbLKU3ILKY2G517o/g2NrOAfj66kP0V86Cyuhzy7b3X3z5i7f8/8oKjE8vcKIHF62eItE5AK+bkLKt/telePKT4du+zR43nt+X62qq0qVCQSbQusF1we4wiAaJB2DobQvAF9fW6FUUxhKi7FffkBRtJWFt0duYf0fYkDCspGN21GoAeBZNTSGcDqBf2W32pCsDLockcYjwmgA4EEyRsn4RsZMIrAQFqE3mzUiRTtR5a/+pT4X710ew2UeLduIGwHUTGPcIBi5hCCfcAdc/8ABf/+H/xn+9yRwznG4yjQcI1jh16r8znZ5/Mma+a6SUMcfeCQv+yYfPQlhO4uwKwFOwC7cwhA3L/A6mU64/c4a7LwV3bciCCyu2CSRS4u3bPmdr5ULs1lZsNR/enoR5661w7lTjr85zSL6wVN83As8t5tqq+5UkGGmUkyBa8kCcwLTfFDp7dmsJJA5RVNOmJMbp7TEOwLssV/434DeFELcCF2PA7ksaPwForV9T8XItSNZa/yTwkxWv/ynwpxWv38NcwvKYihyAz2Y1/sqZA/4MJ+0GakYjGEcXgdyAyCWZdZCgYIrUBKN2dia1WvQqVxKThGmB6ax++zmabIJqd12AedGMpoG2SIhsKJNuklo6sF+HDpg0XyCtOd5IUCzor2HAs8Syim0AXAhCaQBx0jKZpEJDKusBuPU6l3U+kjYcr6QBbz67+Wkqs3WaUeNIMlsjx2Ntntxdw+t5li2qqYQ5nqJUgo66DdzX77mexX94CtHlpk0diODh9Z3niXz+H05z5Y1mYRs4N2x5b/0t69u0kSsr8IVTi5zow8XHTxALH4d6BlyotBaAlyNcn3/+YE3xIy0M49bk+pADuCaNNWDMwO29PuXV9+8CgDdqwNOCVWyKhW/5Vjb4KwDcBpmR4/nGsrAmKTGZzpAq3qqbr/su1ScGkg5FzACEGpElLsKpv14PCcEUle2OPMuxEhTI84e2T+8iSZFuhKYb6F9ZgbXVvURRD+HWFxXach5uBGsDwqFDEMBJNQROcevwIB+54h7e/FIYuxNenA4I1D3cfvvX4jgrPO9551eUp8yAQz4vdMuPiifZOQx4N5ZfWLkUGAb8jquP8Javguc+AE/79D9w/6E9qLMjFq4UrERm0TZechEVdSSkcs13iYb+mKUGkJauSyk4d73rve7b4aRJraur2gwGgK8XDPj2341jkNpowKVsScK03uNp940HtAASh6SWcMDu1Dy2az12KcRzOwYY/2sMa/29WusHmz/1RDySKKo4jquZ6lS7EExxZLeBeziE6WQ/Ws5gEpJ2AeAyhcShv9AOZDLqkyINA55LMxoq7+VJmB02ZXJtb1Nhn3wxkLQx4B1AjXBKlTDTpiRMcwPqLPJy3XIbowDgpvYaW7dTDWtYB2zKWsWmKMs1ug6kopCDVP/2dLpmvFzZPQY87NtiIzXLhNlmnljXDYBfeSU8J/44kbXauujY1Zwc7wwITCZw8qHTDIarkCjC8Iot7w+8Ae45euw9e2D1YcOAX3riBFNaGHCVbNF318Vwbd7HfKea5dTKgdiFmoUTgLZltGXNdxSxd28BwDdEg61hvghvAuCq24I4uGKusXcbkr6k55FphVA1GvDpBOF0k6A4lgFPO8obHKdnf7teDuJqA8Bz4LgbkTawmgDSyl5Ex8TPpSWIZ3uZJT2k1y03wnFjmISEAwPAH/CW+NhBeN/KM8kkvP15cKw/ZBb3EKGZ45Kkm768KsoacKg3L6iKZJwYDfiGJTy6MuAqNVVWsS4kAn7m+fCBJyuedcdnefiyDNZGLDiCZdulJ3ur26qSnpFK1dhlAugUkxDZ4svvXT8vqNaUr9Dz3QJnVLWVKNKmjThJo9MQzMf2Bry/PWw9h1oNuBAIN4KOMttHa7SiHSHEbwBvBJ4C/Evgg0KIf3OhT+zxHKl9LPFmNVAWqYRwUpS7bovhEJjuQaspTAOSuEsSpmFOe6MOwMkW66mSUis1txxqkoPMJjkAbwfESpnS0E1b6Indik0atrwNA94BgAsBFngfqDG7LNsQpnXWh7mutoM0Ik80RTRP+JnIAXj1vVAq7eTyUE5Y3NPb13Bk6bsdA+TqJrxZtG48h+mmx+4SQc81MgVRDcCjze6yAjAA403RO4m0Gej3RIKzUdfyBSY2NqCnzrLknYWjBxg8aaH1M1dfDQ/fv8CJPiyvrTG1fvuPlAFfeunL538vVN9zLdqTvgR5BdMOC5k8gbRGFgR2uZTUL9aguwTFKVlqNgFw5fqNNoRxHCHcqNJb+dxwHTPWxh0lKL7ySbNcDlJ9n30AJ8Vxd0eCApDSXEVZphK8qFOCMli/+ekCURIig81O+mrlxeiZjxsqggDihYd54XfCX6rn8torf5A9p76ONNlHHIeIXjdZS1Pkyf35fLgzAG6TME+ZBKauDLiU86I4YQj8xv/iuYf/J19cupanf/GLJrF6bcTI0+yd2vyBpeq+5EjfMuD1/UekGOvhFmZfqnlhrLhhs8ZIUOyiuGInbBanyMwAcNUCwHMGvMJhseFDZhcurWXAFcKNjRPLYzi6aMBvB16stb5Xa/0h4CuAp13Y03p8Rw5CkxoGXGUavBjX7bY9MxoB4xUyOYWZT1pTOrwcUlgGfLF9crhu780A/JMrqzwKS4U/GsrCz6a28EebQwjgOBUmyOeEoL3YiJRZJ805UACDXs2mg5GgWE/uGgCu047b+oCwDG7uYlIXmTTFhHSNnKDOO/bcKE/I1+25seHIeSjPM5aAdZU/Zxt4FoDnGtpHGuHIMOCiZrKaTqfWZq0bAF9ZgT+LX8nMau4vS6ItSX5dYmMDbrr8QS667u+ITl6Cd1E7aH3ta4HZkBN9GI7HjG1Z8EYXlA4AfM/BOTvcC6vPQzt2EdOkObUSFLciqXJbFDaE9TN+KprbKVgJSoe2qnplAN4kQfFIG1xB4igyi7UOANxz8kV/66EA9Hy/cHSqW3SEylapdXYPgGe6GYA7qbIAvNuCeDQCpkvMUhehslqbzHJIlZCmHkIIww7Htu9/9lt49ze/na8++SdMMp9ol/zPtwPw7hrwNJegFAC8nQHPdGbzh0y7CQLggefy1+/7aj558ilc+6V7DQBfXUBJzdfcu998rl/dzpTyze5WgwQFLcBJoCXvSwhRLIibEoZDr8yAb//daZTMJSgtzib52O7upKqMcpp3brVrjCYe7wBca/3zurTs1Vqvaq0fM2XfvxwjLUr/Vg92vsgnx3amDYwMxM9WAMOAZ1kXF5SsMwD3XQOIVU0Wd1GGukbTbt6zQHmXAHhmv6fJd1jIdEtZ68aI88I41W8bD2bLPNQBcJ1v63cAh3FHAG6zyeuKOEjVjVUsT8iiwzMAC84SpzZ5KIo3cAsGfHcm297Ia6z2N4lym7VuAPw7vxP+1XfKgoH+utUH+MJP7cybeGMDDh4wE/eRT//zTp85eBAOXiY5HfQZjcdMZM6AN0lQ2p9Lrz9flNd51ivp2x2CBgbcap09fycAvL6tZhaAN+nOhUo67dY44Xwx5zaAA8fz0JlCONXOGEkcI5y4U0Xh0dCQDM/ef3nrsWAYxiaAozX4tmCUcx6+83WRS1DqHLRU5hgA3nFBrBSoyQGiJN9RbGeIhUoL9j8Mgd/9H/Brn+DSxf30eka1NEl8kl0D4OZaZ4frGd26SE+sQjAl3liCTHa6viRLTFu1c8eRkgFyfOZGjoWbJM4qrJu+6C2Y55z1qtuZ4wbotN6tB0BkwjLgHdL2bH9skqCEfrMLyixOENoHJ8FxmgH4+UhQpKtqx4M4SVHaM0YT4rGdhNlFgnKNEOL9QojPUEiFjQAAIABJREFUCSHuyf/9Y5zc4zXyRMSoBrB6FoB7fjfmRAi44eoeCKMBz3Q7iyGsBjwctQ+SRRJGTYGfnAGPGhjwxHpk6w4DTBcArq11UpP3uFDbrd3qYuZre37VodR8oVGra7OgRrkdBhVbqc5pAeDabttnNUWOhOimcy8D5K4APOj1LGNZB8A3ceQMHXmItuqfHWOwZEC/qJHmRHGE3EGhEdeFd/yUZGoZ8N/8xpft+Jw2NmBowdTx/k2dP3foEKypEcPxmIlqtiHESTrt1pQrmq7USImUyre8GyZ8K/Hxww4gKZeg1MiCwDoEpQpq2qnW2uhqO/RH6czPyXXqmVzH90s5JdvPLU5iA2o6OC2MRs8F4OpBN3Y18AVpVs9GpykE9nG6HcfxLpHL4KY13vwqdcGLcHZQGCuNFVGcW9i2M8TSSUyeErZIzOmr4aFncoVNjVhYgHEaEMe7U2Y8H+OP/ZIBz50lKA8/THbnvRBMzQ7YeNCJAY/TGCnnvvyvfnXpzZPXccc+uOL4fUxt8aaHLjEM+HCxetEjvZAsdUHWS1BkJq0lYIdxLV8Q138d/aAMwKsZcKGNDaHTyoDvPIlYOK7dPd0+HoyjGUKH4EWIXSJuvlyjy6z4W5gKlgkmCfO9wPsu5Ek93iOzPtFRTREZz06cfti94fs+kEUwDUjpwIBbYBe0lGkH2L//2wHYs+cbK99PCma4Poknyf2UVHuTdN0Kv8Nzw4JI3caAdwCnANra+IUNBWWyosJg3W/anQu3fVtt/7ddDoCjuklQqJWgZJ107ucDwHteaAB4jRwkSTdxZYSOd28bcbTsgy0gURXpLEI6EXoHJYz7ruLFe021l+N7TSJXnc94VWxswL7kcohcDtzUHUwdOgRn9QKj8ZhxCwA3EpT2vuH05gx4r0aiJl3z3JqSvoQFrG0FnIBiwr9y5ZraQzJrO1YnD0h12jknw987v66wQb7hBl6xw1XFtCVRbBK9WhLbAPr9G1FqyBWXv7X1WDCyhMKJqWJ3Ko7nDLjydhGA2/FsVkOGONoA8J368icz873jM+0JykIlhdf8059eet0ypL4PkfZJOjoVtUWRCzQN7P93lKCcPYvGA39mdsA6AnDDgKcFsXHNNfCf/pN578rR9dy+D26+7z4mdlfxwUuMde2V+6qTbaUXmp0a1SRBMdWv6QDAnf3m2b7o2mfXHuN7spivqu7XNI5NCXonQbUy4GZ8D8OrW88tD9fzbf7Q9t/enE2N/MWNUQ0Ss8dCdAHgodb6LwChtf6S1vqtwCsv7Gk9viMv1JLUMMau3apyve4WPc96FiREMPPJ6KDjswA87ADA+/2beNGLNP3+9ZXvxzkAb5CgFB7ZLab/AEp1uG5bQCR3c6iK8iDaFouhKTbwnMsqqh/YmCeb1rDRlgF3/A6M25PMoO209FANlgGvtyHsxoCXn3O3e9LvD2yp75qKrVmMq6awS1vNAIOh1S/XWculsamgtkP/2AN9s6sSh5ZBPNPdivAzR/+Oy1Yvh2nAs7+ie6XdQ4fg1GzZaMBVswSFjhIUt1S0qW4hpdzASFA6APBBv8Mi3wKpG/Y9qfaQDFtspIYBT7IEKbpJwrzRXHrXtFh0/aBZEx1ru63fvkAUQvL8569x4EA39aXvlysaV9u8eXZ3ywl2x4YQ5i5Ss5oaEip1TP6Qs7M+OZ2acfnsmfbCOdKJSays5+DBebXW3AnV92GmQ5K4PObsJINva6TRBGKnkNp1ZsDHYyNVc2OzAF7vd6qEmWQJsiRBAdhnN5sO+Ndwxz64/v77WbOLnE3LfF+0XL3QcryQLHXMrnNNCC1BpZ0YcNczwP+5V99cf4xLkYRZx4BrXFBpqwQlP6f9+7+j9dzyUIHJ5akqPjSNYmTmmYVix9L2j9boAsBnwuwf3yWE+F4hxDdBRxPRJ+K8QlvfzbpkPtd21J2U9/7ZvJbMNCAVXQC4cc+QO8qsqI6cAU+i+t/NEmvR11J5D+gkZ5DKhbhemmGO6ca4wZwhbirLmxYMeA0bTS4d6iLr6dbF8oIGdXpe0RGAb/lMRwZ80Bs2ahe1zowEJd29QTQMVaMGXCdW16t39pt5X0p98wynDx9pOhyAOD7FkSO/ygfv/XnwZ0Ta55pbLuv8m5dfDtN4id50zCSU6NitZMC1ThFSF/repnAH88WpqKm4Kr0QnSpkk+bUykl6o/Z2eOCf58x3UxKmsAvFusWaYRXR3W1IzXnW3xMv8Iu2X6nDtgC807b+DiMIKBYTVYuOJJknrakav/bzibyNRFG105VrUbC7A935T/0UTGY5AG8uHa+1RrhJkccEhgX/wR+Ed7/b/L9hwEOyeP6s69pql4jXx2YRuFMAPpmY3Q8vYuK4sNYnjjtIULIYIZMtVWdXbBVolfW4//KLuf7++9mwMh/pW+IlrB6TPN+342jDrptlwIVsH9dy3+6me+q6kOXe/FUuKFECKFBZq23u0tJLeepT/5yDB3+k9dzy8PzQPq/t1zyexUgcUNkTDDjw/UAP+D7g6cBrgX9xIU/qcR8FAK9mwD3HTGLODrYugwCCIDAuKLremq84BZkaXdouRGInhbROG818EOiUoNghHE9Zxq1hMN6BBCXfZmua8HMNeFrjvJKzil4HZ4muujrtiMYyxl239bd8piMAXxiMyHTDxJGB48zQye4NooFvnmsdABdJivAik0C0g/Asc5zZySY6frTx+Dg+zac+9ZXcddd3c2j6BQimRNJHtBQ8KsehQ0C0iEymTEJsVdHtfSSXMHSSoPTn1103ATtWOtSU9CWtxt6rAQ3l6B8yuzVpWu8eo4W0/u3V7XQaxabaZ1db0OLvZgDexIDrxABwdQGcFgwDXp8UGMfgyByY7V7/yG0Io0k1k5sD8J1owN/yFphYW8+NjWYJSq7HTkoAXCl4+9vh2mvN/xsGPCCLuj3HtkjWxyZJvgDgHSUo47FlljM2PRc2BiQdAPgsTkxib2nuGNp176WXwp4bbkBu3M+qa0kb3/Tfuv7oOx5Z5tT61QNIrYwGvAMj3GWu8jwKDXiWbF8gzpIEYeWgbS4oQgiWlr6qcxVMgCDsWzvZ7de8thmj7L1SHeSaj+boMltcrrXe0Fo/qLX+l1rrbwYOXugTe1yH7WRJUt0hHdtRd6odDP0hxC6ZqGeF8xCyuzyjLTJtfLSTBg144ZHd4jnaNaRntyQbBmOh0mKCboucJWsa1HIYWmd9mAPwMGyf/DoDcIkFNtXXuRMGPGcWu06GS4sLhgWqA+AClDPrXPa6S4RKkTVYyzlZZlwedljAYeEr90IquexUQiYE8fFjjcd/6lPPZjL5AgBZugDBFKF3BqQOHQKmi+hkk2kAYuZVWoSmFtToDuywCufPrlaC4oXo1G3UgBsXJIXf77DlbXMykqTJvtFBp/WOOeNZYsacrragRdQf7/eCYtFSBYJlmlqG78IA8LRhiz+O53UTVIfxoGvk15uMawC4/c1y5dsusRmZexRtNBfMmdoaE0nDcwwCw4DraJ7f8ogY8LEF4A16/8oYj1E2rX7TdWGzTxKfaf3YJG+rpXH1Gc+A97wH3vUu+Lmv+Tle8+o1Nn0LhEPTf+uu0TjmKGgA4ALHuIK0VKWEeZ2MRnmWC2nOgCdVPuBJoRnarTm5HP1e38wdFflDaxsxynYOZ4e5Co+26ALA39LxtSdil0J5tgpihZRBa/Bc87qzw+z5Xtg39lBNfqM2pNo9BjxPwGoqilOUvu7iEAJcd92vc8MN9bnAntfudSxUgu7AKkJHBty6vdQy4Pm2fr99UOkKwIWU1rqtgQHvCMAHg1sASNP2Qk0AC6OhYW5qALgGpDtDZ7sHMHwpTYXBGgbcyTiv7PnhLUN05HPpiRlrvR7Jieat9snkruJvtfdy8GcMO8qG8jh4EJgukGYGgDPzSStkWpEF5V0Y8HLUTfgqMJrTxgnf5oB4/XZwmrsSNbcbZRN2q39zOksQsnt/LM6zieUL/ZIOe/vv5pKwC6EzNRKU/LerkzALBjzYRQmKvR/JdK3yfdeylNLdWf84o+0z3mxmwDfHpg2kDW42vg+zrIeMI0jM+T4SAJ6ls/OToIzHOBaAGwnKiCg5wsMP/37jxyazBOHEW3ZPhYDXvc44vNy8/2aOv23M3hWTN+T4U3tMHQPukqX1FVsBpJbgpMgOVZTD8CpgPqdWhRCFKRdpBQCPkgRpfQXbKmGeT/TDUe0u3Po4Lq7T3WE7fbRFbasXQrwceAVwiRDiF0tvjWis4PBEPNJwPB9SWRRuKcd0Cq40HUYFO5vwR+GAbOyiGrae85A7kGe0hZZA7NYWGQHQ1nVC+d06e1sylOd7jRZ5YF1QOjJuXZiHvIR7GwMedADgUnYD4EqoRmbROL10u6c33vgH3Hffv2c4fEan4/uLQSMbrbUB4Bm7V2o7kJJMO6g6AJ5X+ot2NnALISAL2bsx4/RohD7VvRz9sk4hnBL6Kzv6zSCAgbtAlm4aJ7/Iq5RpzWbG0aJrW51H9fGe30enTqMGXJJBqvBqvIvLMQfg9Qy4wDVSKKf6Nw2ruLv5CmEYsNngxS1zX/4LxIDnNsx1EhRlZT5qF0FGvoOQzqpdUDwnTwTf2dyx6izCZg8dNScpbkxsW20F4H2kOo7eGCAWV+ma+F0VOptuYcC7SlD0ZIJrC9tMXA/e/2qCb72du+9+E3v3flNtuxhPIitBqb9GIQSH9pmE7EBu2tdqGHDXtS4oTTtSORhub6u5G8l0+qXG43IXlLjC7GEWJ+SpVm0SlPOJ4WABfaqaAV/fjAspn+s9tgF4E93wEPBJYArcVvr3J8A/ufCn9vgNL/BrLbtms3kSpjfYGbBZGI1IMwdZU5iiHMb27PxZiXJkShoA3lCGWtjVurNLHc5zfesXXZcgCDjdrN2AoiJXUyntJNd81gBwKXIAvnsSFKEcMxHUXKdxeul2jUFwGddf/1udAUnYE40MOAKkN0Pr3WPAPSFIdT3oVxprs7bz39QqpKcnnOhdSrrZvRrmnjQBf3Ze1T6Xe4tMVESiMqMBryigMt40C9dcU9w16iZ8zw/JUoVsmvAtA+53cEGaA/Bq1hVM8nLTgngSxWZHqoPMphxNADzw3UYNuGsZ8C6gZqdRlqBUjRnjWYSy/Wa3ilRBqYryZPtuhNYaz+qRPevq1DXWg/3ozT4ia94dywF40iQN8iHOQhy5ylibce6RaMAzbRnwtP5ZV8VH77qV0FrGjh0XTuzjouyHiKKjbGzcXvu56WRmXYma+8bKviGkEt8196xZgiIRNYtTAGX12KrD2ByGJik6ipoLiuUQIKowe5iVNFK7lZdVjtGgX0verI/j3MQM+RgH4LUtSGv9aeDTQoj/ojvv6TwRuxF+z7f65e2N02xd5iXNdzbhD0f9okCC1gmiwdFDqrQoJPFIQ0gDwHWdxRpA4RCyO5NhGISNW96TqUn66qo5lUWlwvrCPoUGvMYFZZ7Y1g4Ou07KSjqGWayQFWmtd+R1vtPo9YzVWh0YFplCeDNIdw+ACyEMW1QrQZHWvmrnv6nc/eh9xzkZPJmFzW4yHIDAicCfda4uWI6eWmDdt/KkVFXaZo7XrARll8Bp4HvopJlxE7bCqut3r0zbqAFXnlkoyuq+Yfrj7mrAe4HTWI1S2QWx2qElX5cIAli1EpSsIpl+fbpZAPDdLLed2TE9nm5vv5NZQmDlEG64s92aODhINu0hZbOD1mRq3m+aO3wfdBriRTOmaZ8+uwTAdyBB0RpuPfyX+PKlAIxdK3nYvAb6RmI2GlXvBI43Jgw6LBYP7O9zZBLi+i0MuOcaMN/QH5W9PV3kICsrr+Tii7+byy77ocbjMrtFU+W2FiUJvr080WJDeD4RDkNDBlaQN5uThECaC97N3aEvx+hSiv4J8P2PHH4vtB6Z2xtnFIFjt46bAHRVLCwOiuz0Oj/ePIRMG3V8OwrHMcmfDaWvpb1Wf5cSkoy1k0LUFIkZTy2ruEMNeFH0oSKSIuGrTgNuBjx/0M5ud80ol1JaBnz7daY63REDvtMIQxqz92Vqilwgdg+AgwX9Tlq5i+MgwElRO0wyAxj4N8EV93JsuI9s3F6sqvhNN4JguuMFMUAoFlj3MM8vVWQVAHxSMOBdE4bzKoTV/Tf0OrguSLMgEG57O3ScvDBWveZU4Rmv45oF8Wwy2ZEvfx6NEhTfLbyOq2QgeQKePI/dkrYwDLj5O6sAOGvTzWIBsJsMuMYC8PF2oHx6LcKzANwb7IwBD50V0ukA4TYk0gMT22+yFgacJMCLZ0SxkcI8Eg24ZrbFBaVLEuatt8LqqYDAkiUbnu0zxy8BYDI5XPvZjfEU3Li1auu+/SFMQug3A/AwZ8BVVqvbzs2VHKeLC4rLtde+izC8ovG4PAkzqdGA5+jwQjDgw75Xu3u6MY7zOnoof/f75pdTXJiZ+Yl4RNEbDqx8YnvjnK3PUCJBz7wd2f4ALC8PClDdJKUAk6C4a8yp49qqV02/aeUZXSrvdQg3DBqr/Y1nOwU1eaXC+mtI7fPQNROAlHl5790bVJS1sKJCzxun8f/H3pvHzJbc12Gnlrt397e8bRYOOaQkUtTGXRJJO4rWKDEixQikWIZtwXboWFbseIEBR4oW2IgQO7BhMIDiOBEdbVECJIFMxJJoWnFsyxJFkRbFISVTpCiSM6OZeW/e+7buvlst+aOqeq3bX3/ddZ8f570f8GHmfUvfXupWnTp1fucEdbNZrSyzrGwXAEdiAHjgOOH5Z7bOgscW1ETx1cNNjoZfDRyc4xe+9d34p7e29/OO4tpIUPjVr1mwQ9Qc5qSmgwGfjM0Crrecrp2HfCcDHls9dsfJBWADnAQHoZfPMZRePp5JlJpx2CFXmk5KgMmtJShp+iXukTt/Z2sG/AqWfNtWksxzAXwAfDw9A7enASE16Nqe3TfT9dPGk/MGkQXgSbp9YBQAHLMRRFWAJpsBeDW9vF8hSQDIBFFboRbuntmDAXcA/Aoa8OeeAzhlSOxcfXLAUV+jOP2lEkny1FKT9WpV49psFvVmAJ5cj00652A7CQrQvXmYSVAC6rHnANzPgPepAS8yK1/0zEGTqp1tONgWmRlfzNU52xFCftr+97+6f0/nUQFAPsrtZLIOMJrJFIwJ6PbqN8Xx48cQcBKUSwA4DwfAGXfHgxsYcKePHgZiwLN8Y7hBaRnwbdnhJDHMyCawoSkBWg7dAdKdC0ocMHiDs6gzjbJubWTyFaULW1+bY2MTJtEFkFagNKyVlNTdC23MbLrgDgB8eGiSHF/FPo//4w1v6fy9VeY9jkrDgO/AumdsgJrBbLYl876mckcA3rVZzOPYfm6bbQi33bgRQvDa1/4Y3vKWf939eFFiGa8OF5SyvpIE5c1v/ud4wxt+AnxDFH2RRnMW2gNsuI2Cv4on9raVpoCQBoBLT5PbdHwCRiW0Inuxv2tlm8Xbev2zv3deI04n0E201aZpsY7SAqLJQdJLAPi5kSHJbnWrZcATRG2NygHwS3qSNpVGA+irSVCUMrKOxK6DVAHPf0uKu//kLrL4jRiPf7Pzb6txBcQt9CWbBn6NGwCebXZBKdIIcrZR7Fg7rsCAb1v6UgDuTmh6AOAFOuegSbkAwF/hGvBNM/rbCCFPAPgzhJAjQsjx4tf9eoIPY2VD10C4DsCn5+fgVJgo6SvW8FVPQmBbBlxulby3TUVxBiWijfaHziEkH4YJWU3yzGiFOyQoVeMY8O1AzdNP/zBe//p/gJs3v7vzdzTRpnm2iwEnClpSxGz79/WylD7OjL8y2Po1p3UL7KSr3b6UZp1yEEoTgKngR/zuM/OBKpcuGO0AqvJjc2R7nb2EV7/UHcSzmlYZx1MgaXYC/XmcouIA0Y4B90QzTxwA3+5zfMMb3ofB4M1Ikie8P8+SyMhB+Ib70UpQtq3XvOa/xsHBuzp/TuPUave7NsQVwMTWrzFNn8Ljj/+Zjb+Tp3y2+VRyfb5zPRlX9cTepgwDbq7dejTg5eQMjApocfWTzI1lAVpbr3+2ZxcN4mQKfTG68jWHBYOoc9BsMwCXtndCbZAGOQkKbyuMGwMluubMbUrTGlQnV2rCLEuAcYrYXpe3BM/8ZynURIH+zlsxmXwCTeO3Iq0n9nThknmVFQyoF1Nb/QA8T9mMCOp67m7JCAnAHQMuPT1LbdPMQP9Vpa7blAHg3HsKV9YtqN0cP8wSlH8A4JcBfDmWXVA+CuOO8qh6quIo7QTgk/EZKBVQ4uq70vzgAMI2YVbVZQC8vXLTV1clUQotNgd/uNc6CATA0zw1GvCOBb9qzCS6LTtMaYInnvgvQEj372tGLYvZ4cltG+3YlovfO9/5B3jXuzYnMvK4W0tX1W2vTZgAZo/tY26Zbd7hO0gztrvm+vscU9vougOoSnOTL3bE72C6ye9dWLePH/8+4LffiDwz4R08ubrdYhZlqDlAddvJgDelAz3bfY7Hx9+Ct7/9NzuZqzRm1nVhw4kU1da1JEzxxNyPPqkUANR1YxbjgKc1ecpnzjHaw/LNkyjDjk/AOX04m7f1a1fTU3DSzljbUOX8vaVYnw/Oxg14NoEeD6/8uHkOtHUGmm1uwhRWgqI3sPpOgsJFjQ9/9o8Bz3wV1B6tZprY5NsNc9FqTacAZRSJvW5UKzz7ZRT5G3OIf2FOws7Ofs37t6Kya8cGlh8wJ0NEFgv/7pCgpARyRir412Xbk4goYDKkdk2YnntDtTWIPU3sD4D71+dp3YLZeXwXN6svpuqc7bTW79VavxHA+7TWr9Nav3bh63X38Tk+dDUYGT2bz+lhOj4DY+1ODDgl8xv9h37okjTMgC4oWVxAy6jTAQFw4JRicBAGgGdFDr3hyLu0NnNX91buLs1gtO7omESpBq4AapLkcUTR5sOmKIqNrt/zOqfTaidrt6uU3KSxjcxrjQIzjMpOW61YZ+MiJyuId3BBYRlwfohr7Hmcb2BepLReyPeOgUmBfGDSAaPs6geDRZxeKkFpnVyKhhmrSUIu1YATErZ3gCXZRsvKqqyMXOoSUHOVylO+oMP2+IDbRb6PsI9FCUpbr4PWujzfeR7fVE4z6wPgpxc1onQCNd2hV6EARJ2BxM1mK9bKAnB6uQSFigpjPQI+/WXbh+d4StMGBDFAnLzy8scaTxQIixDZVOioVhhLieE7hpj+azNfte0d799K2z+0jXSI6vnc1w3A5/0CXRIUZnsxQo5VJ8+Scn3OUXW5IEEJD8A3OWhNFxjwPjz6H6TaxgXl+wghbyKE/Jf262vuxxN7mGuUMttA6Bmc4zMw1kDJ3XRZLiL44890u3lorUEiEY4BT03sbBcYBuxxsGRIBmEmmKQwaX9dOlfXLLStrnaboizaHIpDlAE+ASuKUijtb2apppVpbOuTAdcbALhdhHkUlmF00qhKrgMb7piTHQA4AJDTWyiKl3GxoVFWuutWKTDNkeaGAb9ss+SrPM6MBAWi0/tf2tMa7GHVtlhxbDZOG10XAo+bKE1s3Lb/em1VAVQjpC8Ao3TuguKRoLggnD7CPpIEaJwEpV7fKFbVhQXgYfW1kU3V9H2uk0kJymvo9uqvtygA0RggNjsB8pSy0r6ZkbOn0hSASMFkjTaCHfd7mK2xGgQJ6KxR/vLHOi+nIDRGZPuSikmDF5sGw3cMIX7fvD9C+GPp5exE43JgSsl2AHzWhOlhowGAMgfAw40XNQPgPga8mp1K98GAU2odtDzyxbqsZ/aEIS06H8S6dLYjhPwlAD8L4Kb9+llCyF/s+4k9zDXMiE2qW2fA69JM3LvGxDtW+7Enuz17nRVaKA14UgyhRATi0Sm7crZn2yTvbVP5IIeWzOszCgD17Kg03IJPCLPRyhtcUAKD4SgxaZQ+BryeTAHeXxMmMGfAV1mxutbgsXmtSRJYgmKdL+p23SpwXwBOx7eQDO/iYoMsYcZStZGxGXPXntnxbV+DNJ1LUBT1AnDn07uPV/JixTFm4LqLzQy9WYxS25PRsQkXpdPVhpVkOJ2rjwF3x9xR3E8QT2tj1n0MeNlMwWgLvWVK7dbXza28RHka+KcTsKiBaq/+evMcEJUBf7MTIE8peypFNvhVOwmK0sIocDbI9rYpzRpQnYIw14R5uQTlvBoDLEFkTyu/+jOfxzOTCZI/egSaFIDkaNt73r91rjZkA8vvipHLJShJMk+lFI0/K4POpHXhNovukER5bAh1U89Y6D4AONAtJRR1BcZcSNVDDsAB/OcAvk5r/cNa6x8G8PUA3tPv03q4q0gIVIcEpZqeg/Jm63jx1RJ20N94rJvFaO0EE4wBL4aX+g4TYpP3tgj+2KaK3DZ9dTFuDoAHlKAwyqBVNwNOqQqqqwWAKMs67Zym02rHcJPtq4sB/61nJOLULBppejXP4Uuvaaet0hO37XS9uzbvMHUAlk5wXnQD8JnP+woAj6KrA/A0oagIA3MacM/YccmqZAOreJWKY0DJza4LlKqgvQOpZcC77kfpGhUDyWxczeLgPY1mllRE0oPVWVEAjd3A1J5x2soalDfAjkRKV8UDOx49TdFiOgaN6p1Yd8OAm/G3iQHX9t6g0eUSFKh2zoB3zJmXldYa4IYBdwB3GzB/Xo2haTKzgvy63/wkFIB/Qs9x+O5DkMmokwGHBaxsC2kGZXNJ5UYJihunHsccrecAnAXUgLt7Q3uSm7WoZ85kvQHwjrVDt9WMOAvpkf8g1jYIi2A5YUFik/nqo9q7soxY/bIniKe6AOUNtNpRgmIX1WLUMbkAqEqzKMtAADwdDqFktFmCYn2HYxbmmkVmrdY6rtnUrpEm4JE32xy3TawLSshKssy8Ti7WjvKmFzXA+9WAd02iv/MpgSg14zfPr+Y5fPk1zRgej9dPcbhtHGLpjgCcDEHTEqeDodfZBVhgjdsImM6PmHdhwJMEqEk8B+Ae9k7bI+JQgRhPI5esAAAgAElEQVRxvHDk3cWAB5agpDE3G8GOTbh2x/qBWH5XjsLQHpbPnTD2wYAPBkBjwbVo1iUobduCshZQYa+d5m7cr49dOb0A4w3kDvJFA8DN/0/bDYmndqPD4u5rUAownUKhNcYlggNQ0HqdcLqstG4AqkFJNvOr3gaAX9RjKJqYRlgAX/8bH8PXDof4y5/5DOiNCLgYQgg/A+5e4yaW3xWLtmnCnJ8kSk/DrlLzIB4atAnT/NcnQYFoQIkDweFtCIE5A74qGSKiBGPOI/8RAP9HAH6dEPKjhJAfBfAhAD/R67N6yMtE9XIQ5pGgTA0AV3rHm8IyE1S83Pkr9YUBp6EkKEWeX2p7RomRZ4Sy5MoztpEBlw6AB2TcGI2gBe+0WyQsvAQlzfMZIF3VfVaT2mjAAza2rZa79uokWtYCcWom9sEgMAC3sqHyfPkoXEqA200r39FrnccjkKxEE0WoPcf4wEIaagAJSpoCNUnmLii+zZsFyTQgAz5rTuxKbaVhE1RN2l/3/eiOwUnghi8lN2jALavIk/AAPMuAxkpQRLsuK2hVC8qsf3XAyl0PDfEA8HICGlVQuPrrLQpAtuYxTy+6JSiw8sUo3fw5xmyBAb+CfeDa5ZR5bylJZpKQbSQok3YCkAyUOxcUjR977DGcSYmfki9Dnw7Rth0klZ3r2BaWgDy+nAFPEjN3mYdevx+lxMyRJCQAd1I+7bk3iKjBLHnVlwxknuew/LlTUSE5uA01HprG+FdwbdOE+fcA/GkA9+zXn9Za//2+n9jDXKZBwW/RU5cVSNRC7zCJAgCxuly2AYBXYzOpOQuvfWuYJRsbIgG74AfUnBqWr7vpyx15kz0S2FaL89jGwndIUIi8NL74qmXcXvwTWTmdmsa2XjXgFoCvHGM2QiBKzfNJhzeDXtOB/mqFAW9bgLnu+R3dAng6AuESo7JF2QHAZ6yxsEEbthi7uoNPkgCVTsBUa4GIZ7xaUEO3YNy2KSNBsSExHnAIOAAe0pEkMqc/XXOAY/m30NVepdzVNvqA9+CCQqmNY285pOeIXwgBGoUH4MWAA5LCx2OIampcTC7JFvBVngOOnD09udv5e1Q7AL75GglPIHVryO8rRMivlpTmdIHSHJRzQJOtgPykHUOTHIgs09oC32B/9rmhBM4HaGs/A06U3eTzy9/HqJhbPm4E4Pb/hUeCIsT8tIYFPK1RIICk3ntDiwbUAvDLsih2vv5s3Vq+PhMl0msvQt55spfrPki11cqstf431pbwvVrr7oioRxWstGLeJsymaoG4AXYE4ODWGq7reA1A6RjwQOB0kFn952W+wyFdFyKTctkF+l06nQ545B1HKZTsBuCEhpegpHnWySSIyr7GgJuM1ZKWRanK8dL3GyEQZRVQx4iLq/sObyplTy3qybIWtW0BZjetuzIncXEAAHjibIJpJwC3i2QTL0lQdjm9cQw4g2PA1+8Rot2xfpjFd0mCUvsZcKMBDzdW05ib0CaqvQ4dRLrFPiwAVzMXFI8ExW3Wkp4ABuGA4JBy/T1WjQaiFhRhrz0YcUAyUI8ERYixIW92YDSLAqhb81425xsYcPvZRvnma+RxAkkVJFNXSrBcrRkDTlPQmAIy6jzVWaypGAPI7Vpqpuy//Ys/gO/9ie/D6SGAiyHaxr9GUsfyb5DZuDp65+Oz/+8a25TOT6Taen1DLISeacBDykE01Tb8a329oqLpnQHvksGxtkJy7QXIu/4gsVdS9UeNPaq9qquxrmklEDc73xTEThqp6J5EK5tmFkofPczjGQN+1nFZQuWVPLIvK0I2x6S7YA4SUILCuWn87GTA6fbx3tvWoMg7u8ln/tGBdbWLpaxrRXWxfFxbixZxWkGfj0DisC0jbly25XJzW9Pohe753VjNeHgIAHj9s1NMS3/qn3KsseAzCYre0RY0SYBap4hU0ylBIfZ7fIsFf5taYsA7XBcIFUHHapFGCwuuB2hZELCNrvYqNWs08wFwy4DTHjTgAKAZ70zGVQ2ApAYNbLM2GjFzkkLXAThv7LzOd7MhrFozHppJdxMmtWM1HWx+XUVi3X8g9pSgmHuUsQwkIiBtupZU66uyHUORBIhayJaCAPjB9/wUfuwX7xgAPh50ur24+3EbRxKeXM6AA4Cwe31famrdChDuQnECbtgotePTpwGvZw2qfUtQarHsEhTrCaLjl6BOHwHwR/XvqLpim1WrLQDfjeFzDUeRWu/Md1WPzQSrAg2PPKMGDMctPvIRf2MbJRoqsEe2Vt1H3jNG7Aqx8JdVGucmXrfD+tAc64d9jUWWzLS6q8BmLi/oUQNux0h1tgzAGyHA891iry8rF/LRjJdZ92nd7g3AowMDwP/KPyxx+rKfAav+wEhfnvu6G3MAPnnNTtdLU6BCCiYtAPd4/xN3rB/IrWOx6avxMG6Aa8IMmUo5B+A+oEWsCJZtcax/lZrZEPpcUBwDHviarjSPAcGhPE4zWjAgrUAQJnjMVVEwQPBZ095icddFuYPkJs+BsQXgYuW0a7FcoFpebL7GIE3QMBiyYg8G3HnyU54ZBrxN5z79G0qJUwiWAlGLVhG88Ljx8L91coLzkQSaGEp3nA5ZwUi8RaM3pYtuSt33k9wAwKtWzDy5QzLghAKQbGY7vFhatWAWgPflxe0a+KuVpt48HoNQBVVevafmi602zrCEEEYI+ef368k8qnkp6WdvhYAB4Gy3xTixXfKc+RdeYH60rwJJF9IUM3A9GHTJM2TwBkUljTuIr3RrGbeADHicZBvTN0lgazfAur10SFBk6xb+/hhwJ28pT0+Xvt+0AlFaQu0Qe31pOQlKubzQXlTlwrHpbvdHet1O+vkUZ8/6AbiTL/0/b5wCuX0O7W4A3DDgGbhuLBPoY8DNPJBk4QC4lbF6F3wAAJXBbEgBw4DrDaFN1FoybNPYdpVyM6iPdac9Jv2Zx407w5UgAGTlkk90iEozI0EhnibM2Ons092SMM8dAK+6AS6BSXQtLmHA84yjZtb/fh8NeOUAeGoY8CaDUpcDcCJP0VgALiTF1/yJe3jirwL/9HUKhTgDmhialF4nJGbBcLIhrGv2u2zRBaWbiBDOB9xzPzatWPDkDrhZJMSOT88GUYuFubQniZY9PS1XAHgS25NbFfbeeBBr4wyrjVhPEUIO7tPzeVS2uuQTSgKIW/AdjhEBoBgaQEQ7gCkAVJWToAQE4BZ4ct6lOZX3lQF3iyILeOTtEj+7rhnaWQKw8p4ZsFmeSGeBEYF1tYul7WNfnC1Poo0UYFEN1fTQxW4BU7OiXx5XFRgT0Irs7F2bXrdplvkUJ5/32605CcqLhxz48NcCv/61iO/90G7XS4FKZ+Cy7mbAraQp2QE4+cq4Llg9r6fpCwjPgGcpn7HufqbTNbb1I0HxNZoRqqBbHvyEZvb4SWrApQ/8S2YAOA3LgKeZYcB9+WKRlRrwdLdm4fPGypY2AHBKTKDaYLj5vi9ygoZxM7ZnEpSre4G7zcDHSwnEBGi2Y8Bpe4aWJUDcQCiClwvghU/+FfybxwiOLu4CdWKfk6d515pbptnlTkucj7Z6Hc4H3AfAayEWNosBGXBOOzXgWgtQ6taPfn3Aq2Z5nk0TZ5DwynZAAbaToIwBPEMI+QlCyHvdV99P7GEvrZm3gdA11/Bot8E5OjIMH+PdnqvCJrfJQBKURQa8bT16M9jFMLBDiNL08qYvHu6aSVJ0utcA/UhQhlky82tfZZBmuteeGD4AUFYOMr1YPpZurcuDasIfX7rPTFYrALycgjEBtPHOoIoxu2DmU0xe8C/k0h7lnwwiYDIA/sbfxmD4up2uZxjwHLES1sLSw4BbUJ4WYRYkzgEhu5u+ADNWQ57WjPJuqRQAMBXe5QEANNGAYJC+a9J5A2AfFcW5eXzPZ8o1gLgF42FPiKLUAfD1+T21wJENr35NQoALG/6mOpxzANdozjAYbAb5eQ40hIGpZgbAvQ5Al5S0fS6/PK7wvGyAJoGU3fJKwATbsOYUgsSWAbdzxRf+EL4wLJA3F6bBGnOXlcVy/tjJhrRcV2n62q1ehxudPsecuicGnEZmrMAnCYMEYy10G/W2QXUn7OWKfDF2jbF45TPg28w+/7f9elT3sZSiXgu9WXxyshtzcnjtOmoAdAMAn0UnB7IEM5pTe8TmmWCAfthhl/anVAu2ovV2oJxF4Sa0JC+gqw0SFCaDR0+PirizCVO7TUZga7elsgvCqhykkQIsrtHuEHt96SWtTGGV1ZxenJl473b395gxC07yKeo7/rGq2gqIgGk8f18P3rDbYpGmBoAnbQsJBk40tFYgCxQmJRK6iVAMdvM2Xy3ToGwBeNf9yM1JQqgq0mi2ofdqwK0EJd4xwbSrtE3YlczDZFIFLfrbnPI077SWTGbzeNjDZZIQ44LC1qUTkd0IRMV2rOxq1REH6hgQ3QCcwrzfRbp5rBYF0FBuJCizk5EdGHC7Vk1Zghd0i4M6vVSCMp0CCbmAJJEB4G6cf+4bcO9LcsRyOmPAncvKYjkAnm4BwLdmwJWzBV0H/E0rZqROyNNMynl3+JeWRgO+Y3P5NuXyKSZ3l+WLSewyAcLMdw9yXfppaq1/khCSAXi11vpT9+E5PSo4CYqHObGfWJLuxpwcHAxwGwCNutkG0Tr3jHAA3IFEIToYcCahA4M1Z0FmFvwVyY49duMBAXieD6Be7vYeJ1RBibCbDBNw0hHpK1wXe3+TKGwDW7MKwIUAjSsoER6AU24m5lVni2p8ZlibHaK2XXFuAdFgDHnS1cDbAIKhjuef5Y2v2O1+TBKgkgPEbQtl+zq0FktMFyFGV5tfoqu9Ss1sz7rYTCZnvQUhyqT7Lt6Py+VY/mjHBNOucgBcecKxKJUL7Gv4yvKBCWvyMOAJt683DgvAKaeGtfQw4C6kKhrsNlZJHkPXCeCxVZz9jj3lyy/5HPMcqBHNEmCB9SCxbUo6AM5j1FwDdQIpu11aAODkBMjpBTQMAG8n14Cf+3GgvIYzPcCtdgrVxKCA11GF2ZOEJA/H0DoXFOmVoLSgTEKLsHIp7gC4z/oUApS2QZ3JVsvhi/J0+fOKEwfAw8qzHsS6FA0QQv5jAB8D8Ev2328mhLx/i797HyHkNiHkEwvfOyaEfJAQ8mn73yP7fWKlLZ8hhHycEPLWhb/5Xvv7nyaEfO/C999GCHnG/s17SV/nJP+Oytn2rTaBcOaOvw53etyjYQa0HDT2u5EAC8dggRoU43iuOe1q+iI9WPRtitt2jNumyOSrVpoXnRsnoB8JCqWkMw6eOgY86o/lc8ls7Yoeu5VGgiJ7AODMuTisvN5mfA5GW6g9WE3GBsbJZnQOdd7hAy4roI0cSQYAKOLdPlfDgBeIhVhopl0eP9RadBZbNH1tW+5+9B15a60BKoMy4EmykErpuR+ZvR+TPgC4ZP4mTAtq+qqiGJlEY4+uP7bzeByHb1LWIppJFhYrctcc7bZ2FIdD6DYG8eiiXVGioCVHckm6aJ4DNYnAdLMXAy7bOQPeMgDlvAlTa41nnvlOfP7zP7b0NycnQE4uoMBNEM/0CeBT34HRCBjrIYq6grABSV4Abjcy2wLwweDNl78OC8W8EpSmNetj4LHKYt7dJKyFITN6ZMABM09XZysA3JKDNLA860Gsbei4HwXwtQBOAUBr/TEA2wge/1cA377yvb8B4Je11l8G4JftvwHgPwTwZfbrzwH4HwED2AH8CICvs8/hRxxot7/znoW/W73WF3VJxQAu0KwcszPrB5pkux0jHoxioE42asBdqiENxIATMpeD+CYYwDZh9gXAPaw7sWwLD6g5zfPC+rd3AXARXGYDANKFjayCDMvyh3aWWCwX4716siGUSWwVgZP+zDXtwreycDQXZ2Cs2YsBJ4RAqCFwcAbi78E0DHgboYmBv/PXgb/zA/XOzJQBpjmYaLujmYmElhxFEe5IdpMkrFUC4CKoC8qiDE15+kDojFUMe+ysGToBuEnf7Q+Aj4oD0/viAeCOAU8DM+CAAeC+Bn5uG++Tg90A+PDoAKpNQMkmBlwDiiFNN5sEzBnwZj8GvDEAecJjtBzQVTJrwrx37wO4e/f9+P3f/8Glvzk9BXIygSYREDczm703vckC8KpCMwPg6ydEzmEmKbYD4G95y6/i3e/uTp4GAOHmcI+8p61rk0oZGIDzNO10XgIUKGsB2R954zz/6+ny6WlqATjrYXP6oNU2M2yrtV51pO9Gb7a01v8SJrp+sb4TwE/a//9JAP/Jwvd/Spv6EIBDQsjjAP4DAB/UWt/TWp8A+CCAb7c/G2mtP6QNRfxTC4/1iiilOAjVayb13ALwPN0NgLOCAU0MzhWk8k94sySxgMypcyMQG5u+AmvAXXNi4wHgCK85HaSp2UR0SVBYeBtCADNQvwrciGtsi/oD4E4yIFcAONGG1ZA9dNA7+RVZmYbK6QUY3w+AA4CihxBH56BTP6jWqp4x4L/4HwGf/NrLXRe6Kk0BtBmY3MSAG/ZrsIXrwrY105x6FvxJXZnm5YBjNUkWUil9ANy+1XFAlh8AQLT14l6RZ2kN2jcAHw2gZbTWlK01EHPnJd0DAy45qGcOihIzrorhtZ0e9+jmEZSIQT2SBVfulO+ylMiiAGrEiOSiBGV53J+ffwS//dvf4/WpduU001Meo2EaqBIom3FxdvYvAQBp+vTS35ycAAmZQmvDgB8dmfnx7W8HxvoAg7JEA6cB72bA6ZYMOGMZomjze+7ufR9Z1Na1kWgGBsMsT0zDrqdHgUKB8hZQ/THgZCZfXH6Ps8gaTWSvfPO9bRDPJwkhfxwAI4R8GSHkfwDwqzte75bW+gX7/y8CuGX//0kAzy783nP2e5u+/5zn+6+YckCtapaPZyI7cWfFboOT5tQw4EzhbnnX/0tWW8tYyJvPDDXRlbzH5MwnOFSpGeO2ztjMmr7ycAt+kSYmQKnL4jGwt7Kr2etcOS1xEyvbIrFt10otC+QaPl3Fwuy925C+te6xcwfAlxeOspqAJxPIdj+gStkR1NEZ2NT/WSk1Z8ABYNhe/ejcVZIAECmgBSTxAxHH1MZ5uM9RbLg3xjZhVHWr1K5ciwBcbmDAo4Cv0Tyw1YCvMOCtlL1rwAejxOQCrDDgQsyP2ReTEkOVkS96GHALwI/T3QD4jcePIEU8s6fzFSXKZlhsfl/zHGgQIZYCEn4G/BOf+A7cvv2/Yzr9ZOfjKGEZ8ChGEwEo5wz4dPpvAQBtu7zOnZwAKUqTOxG1ePJVCT77WeDd7wYu1JFlwLubMJ0POI3DbYgVI4Ck3lRKUVegTEAHHqtRlhnSy3NCo6FAWAsENg1YLGatlMUKQZbbBvToqYc8iMfWXwTwlQBqAD8H4BzAX973wpa5DjjFdxch5M8RQj5CCPnInTt37scl964ZAC+XO4SddMSBkKsWyxlQJ+BMYdL47ZpcUwYN6MmrtdOAd8QEs/ASFGkfT9YeAO7CTQIeeecJNwC7kwEP6yzhas4sLr9OYk84QiUo+mo4MuNwdfHMGnNoJoNu4kzF1kZtFdg01QQ0nULvCcAZPwYZnYG0/ulRqhpaRDPsNpT7AvAMRC0CkVUG3Cy+URHuJKO1G0Gf68J0PLHPI9z9yPnCMbuXATdLQRzYhpAAFoAvX7NqWssq9seAD0fMa0ta13MihSe7nWRuKiUiI4NrlzcdLGmhJcVhtNvacePGIVQbg/JuAL5tn4uRoCRImgaS+DXgTfMSAGAy+cTa37uSsgRajiphqJmGniTQuoFSAtPp79jfuViyJjQMeDlrwqQswWtfCwwGwFgeYVCWqC0D7rUhnHlyBxyrjABt5O2PaKvSyBcDj9UoTc0G0Wf/SHTvDLhbl1ZlqRkjQJUgfepREya01lOt9Q8C+GYA36i1/kGtdbcP0eZ6ycpHYP97237/eQBPLfzeq+z3Nn3/VZ7vd72Gf6i1frvW+u03btzY8anf31LWE7uZLqt4uOuez3abRGlMoZsYjAlM2g4Abo9rQwI3x/y2rf+4vhcbQt0dNkLs3i8LCMCThFgJynrzrNYaYDIoqHE1Y8DFinbYvsb4EkuwfWp45Mbh8iReCAPAVQ/yl8S6OFCyIkGpKgPA5X7uBHF8DdGTX8DgSz/u/bnUjfXsNv8+0Jcq8jZcC5YBl50SFOOtHIEm4TbEctYf4ZGgnFsAHvp+3KQBt59llIRd8I0mma4BG+OtLExwVk81GBg5yGpPiAHg1oUpCw8ytOQmaK1a/mxZ3EJXGaJL2OmuOhwMINsENN5gQ0jVVnOcYcAT03w8C3ybzyEG+JoxMR4/0/k4SpZAnaBOgEmmoS8ccD5HWX4GcWwOxuv6hdnfGAa8Ng0CFoAD5vOqxBGyqkJFL2/CDBpQw7pTKWVdmYbhwGM1znJzYuuxzSVEWwa8PwDu1qVFNyspgZRqoMyQvqo/6eSDUtu4oLyDEPIMgI/DBPL8FiHkbTte7/0AnJPJ9wL4xwvf/1PWDeXrAZxZqcoHAHwbIeTINl9+G4AP2J+dE0K+3rqf/KmFx3pFlFuM6/GySX0U2Yl7jwYFKSwA72DACZxFX0gAbv7rS/oCHDscGoCb97DZsOAXO1py+SqOrX2kJ/xHSw3CwuvcAUDbN3dVP+iYjeC62oW6fsMeZ6+w0bl1IlBx+CPMtIgBRWZMlKuqrEHyKbBnhLHT5177rvd5fy51teQf/eq2WxN7WRECcBgGXHRIUKhjFQMaPbXWgVZ5mjAn56b7VCHsaY1L+9sIwAMz4JRaDfiKZWXZtL24Ei3WYIBOBjyxYSPJ6Hrw65pGcAkxXQ7H4mkNVe6+Gb82HEDWKWi6IYreBvFcVkYDnlj/+3UGvK7nytOy7HY/lqICmhh1AoxTAKUZP5PJM9Ba4OjomwAATfMHs785PQUSNAaAxw2otf8cDgE0I7C2RE26mzApUdCCBbUEJJx2MuCirq0MLexcmmY5tGRelx7AMOAE/QHwzIU1LWj82xZIGKCrFPmtPh1YHozaBg38BIC/oLV+Wmv9NIDvB/CPLvsjQsjPAfg1AG8ghDxHCPmzAP47AN9KCPk0gG+x/waAXwDwWQCfAfA/A/gLAKC1vgfgbwH4Dfv1N+33YH/nf7F/83sAfnGL1/JFU0qbBbKaLFsxMO702bszJ0rEYLybAXcAPL6kk/0qpe1iLj2MAtBXE6a5ZuVp/HQNfPlBOACeJHPnlTVP7kZZb+UeNOC6gwG3LHxa9NdNPjgwvQhkhY3O7CGZDjiGXBW5sc9aZcBlJYFiAkL2YxVvPvH95vHu+U/LlG6hVATSmoXrS/ZgwAEgIhm0FrN73q8BDwwUCQck9R6xNxMnQQk7Vh0Al56maLeZCp2ESSlMEI9eZ8AJC3+sv1gGgK/rsesaSJIKuo4RXZIYuUs5C9t2vNw/xJIaqt59M35tWEA0KUi2CYBv18uT50CjE+N/r9c14HXtWrwImqZbNip1CTQxmhgYpxoYm/fz7OxXzHO+9h0AgMlkriO/d6KR6BbEasApnzPgaIYgskRFuhlwymRwf2zKuW0WXt8Qq6YGZW14BjzPTOK2B4DPGPAeAXgxdPKr+fXb1sizRJsh5f1tjh+U2uYTlVrrf+X+obX+FUI8yQIrpbX+no4ffbPndzUMsPc9zvsArFFRWuuPAPiqy57HF2vNAfjyJMqjFloRULo7sDEM+Cku6g4Abj/eNA0XNODYAt+RNwCAyxmQDFVOxjMt14MZHHgbDMJpMA0Dvhg2Ml/s2nHZGwDvYsDda8wCJSj6Krfs+mrwR+KsygLFpy9ds+A4vRevXVM3LRC3oHS/z/Rg9DUY/9s3IUr8m0VNaigZgWjTxPI024+ZiolpwhQdGnDCxGwshyrFTAy1lOv3YzUtUcSARtgFcB7+4/EBt2OVBe5XYJx4XVCqpgWlEqLp75h7xoB7AfgU+mLYS8y3lByUtWgm51i8+1hSQVV7MOCjDL9Xx5cAcAW5BVA0GvDUMOAzDfgiADcM+GDwVrTtbe9jAJbQaWJkOcMklcCLjwEA7t37JQDA8fG3IYqu4+zsV/DEE38ehBDcPW3wOqlBFAWidtYMOBgAqA5Bsgol3ZCESUVwT24eReYxPZ7cqq572SzmgwL6hfUTGsACcN6CoL/7ozgwY5GsAHAWtwaA0/Br5YNWna+QEPJWG4jzLwgh/xMh5N8nhHwDIeTHAfx/9+0ZPqSltFnUp9NVG8IWqNO9Jm4pYzDe4rzsYsDNDZEHZE61u5mE/5pgIvhxsPNVrqbrANx5uaZberluU3HcbQlYjae9AXDX3LaaDDmzWiz6a8IsMg4II7tZrIQaAM4CpsXNrlkY8LgqQeEwwI5H+wHwhCUQVQ6Wj70/V2ghVYT0zPz81Xtq7GOaQWu5oQkzvP6TMGaPvD3BH1ObhBucAXcuKJ6eDDt+aMBkWsAe7XvS/qqqAuFtL7agrowGfB2AV5VGlE6gxuEbMAGY0xku0E6XT09pUkLWu88FRUEgmhgkrb2+6oCVoGwxbooCaFSKWPibj6vKAPDh8C1o200MeAVdJxhmHGWGGQA/O/sVJMlT4HyEweAtuH37f8OLLxoe7955iVgAxNoQLjHg02sgosSUb2DAewjFiVgMLSMoj8WjbIwLCgKP1TTPoXQHANcUJGqXEnlDV3ZgTisW7WQNAG8gRIrkIQDgm0bR3135948s/P99cS95mEvPGPA5YBUC4LyBqvYDVErFoFGN87E/spcQCS0Yijgce6ndhsEzofWlj1Y2TKGZrieqmMQ2iigNN5EuMuCrC9TkYgpwERzUAIAjjla7yZ2zRJb1B8DzlHvBcMwNc5SMwnu5DgYcaNfT/iK76WH7AnCeQJQpaOEH4JrUkLLA1/xfv4w/UT+Lr3/Pe/a7HrUMeJcNIZNQgRPpdBSbpi+f5tQ276nADLjrA9nIgLOwjBtPzPjEytF+XVa276RnDVoX05YAACAASURBVLheb3I7LysDwCf9SMOk5CC8XZegpCXa892t3YoCELUZh219hiRb168TKqE73IMWyzDgGSIhIHwMePksyOQQ8vevQ6SnUKoBpev3gEIJ1SY4jCKUWQ2cHIEggUaN0ehdqJ6t8PTTfxMnJx/EvXu/hMcf/7O4dzEFzzmiVtsTMzM/ZhlA6mMIXaG07k1+FxQJHfhEKuaplZl5AHhdgwwFtAp7bxSjAueSgXokKNQ2qKJHBjyOc1TA0trRtgBNGrTj7KEA4J2vUGv9jRu+vul+PsmHsTQceJwfgZ2eanDeQDf7ASopY9CowfTkxPtzSoWJvg7oEMK4HWpy/fhSNMom74U9jnVH6FW1DsCJjahmPNw1o2huH7na3FZfOAlK+AXfTZ9rEhTn9FL0x2KkqWGjVxnwiJvXXxweh79mYdjbVQlKzCwDHu+W9OeKUw5ZpiDFeM3NBgBAW0jN8fpnfxff//M/D7KnjjdhGRTmPuCrm7c+gCLjMdBG0B7N6SwsiwQ+kbJR9EL6NOA9OEsAJhBGMmiy4gM+LW3fSZ9R9FaPvZILcDadIMovIMqeALjmIKxdasJsWw2alpD17oAqzwHZmPernZx6f4ew7W0IG5UaAO5hwCcvPA/90hHuvK+1z9+fJKlQQ8kYR9wy4JqCaXP/Nx94Az706g8hF2/DzZvfg7OzXwMAnE2niDRHbO8zZydIiPFIb1GiTih0E/klKCy8BCWNDAMOsg7AW9mA8DY46M+GA2hNvZ7xzDWo9siAp6lppl9cO9oWIHGNVqZgPcizHrS69BMlhBzCuIw8vfj7Wuu/1N/TelSaOKZhPgHcvteARw3knrpFhQQkqtG84J/UDAPOMQqYvEdcQ4VeB+Bl2QJsu6PLq5Sym5jWI7WhRBsAHhBjEDJnwFeP2afjCZDqXhjwmd/5qguKi0wO3Ni2WDQ2R/yrDHhkvYKHh7d8f7ZXRTk1rPsqA2498qNs/wAHUSUgkYCUE3C+ArBJAy0ZfvJXP2D+PdwPSKU8hd6oAQ9/OkTj1EZbry/4YmbbGfaabi/TetL+3PgJDcCTLLNWg8sgoy2nYD2AmsXi3DRlrwKc83KCW9kYddmPz7GUEbAiQbl7XoGkU6g91g5KgdYC8HpyioHHwIVQtRWRkudArXNE4nwmQVn8jKp7t4HzEcjFETSAprmNJHli7XE0qSDbIY44xxfsge2t8r+BfN1H8eLfejMAoPy9EqMn3onbt38OVfUszqZT0GsxEr0MwAHgja+5hqqsUKUAaWIoD2FEiAouCUuj1FqbrmvAW+Ece8LeG8NhgRc6bAiZYkBSg4j++ofSlAHnfHZSCwBlLUDSCo3s79T2QaptZthfgAHfzwD46MLXo+q17BHYgmPAyycNWFRB7cuAIwPiBuK2nwEnVEKLCIOA+l0emUmW6PUjvaqymtPAITWKuk3M+jUJUdCKIfQpl+7wOp7YcBMVGNQA85AjsaIBd8f6UQ9hOK4IIdCCg7BlpphHJvRjNAxvs0YZgRbRWtw2t+mCSbY/6y4qs9id155NKmuXGbA9GfCUZ9CQ3RIUGj6kiiUp0EbwAXDV2O/R0E2Y5r8+K9I5AA8MbLLCgKUVYFNXldnY9HAitVhKcWDFB3w8OQMbXKCte2LAVQRCNeqF3pcXTyYg2XRv8qatbWP75J7354RuZydbFECjM6MB94x7oe8CZwdQz5v3qEsHrkkNqWIcRZFhwAGMTr4Lr0l+HDg1G/HqcxVGo3cCAO7e/TXUsgQHR2wBOCHz9+SrvjxHhQZ1AqBOINsOBjywK1Ge5MYxxwOGhRCGAddh741RkZgNIl13caKaAcUUFP2F4SQe8mZSVxaAv/I9wIHtXFBSrfVf7f2ZPKrlsro0sWAtdzaukUQVGrEfoNIsB2EK9Lbf5YESE9E8CNigyFILwLE+oY3H1nc4MDusLQAXHhtCaiUooWumAV+xWnONbaF1tQBmPrqrR/uOWaC0vzhhc2G+1sjDeQtdp0HH0GJpEa3rziPr+lLsrzsXpfmcTs5v47h4eulnhLfQcmGzONpPc57yFFII6E4NePgFP44L62Xu0Zy6zWNgNlpvaMKkREK3PLgrSJEV0FMG0HUAPuDtzG2qr5KKgjAFrRWI1TrXF8+D3BIQTU8MuGVKy2ouQXnh5DYyqiHb/daOpjXjsJx2kDdMbXVak6ZArXJEQiz4gM/nEBWfABdfCZwaOUmnEwqrIGSCI87hWqPkWGL8sflrrz5X4frgTaA0w8sv/xoQ3QAlkZcB/8qvILjzsRSSC6CJIZt1BryPpug8y81JTbK+VgkljIwpMAM+yhPr0rMO+mP78vaxO76s0tRKCRfIm4vpGCSp0eiHA4Bvg3h+mhDyHkLI44SQY/fV+zN7yIsws53XCwC8vLgAjWtIsd/g1DbEJzr3h+JQJqFkhCgPdxPwggNNBIb1a04tAA8dxENsQ5cvbpuQ8JIXYG61plbCWZqenCUAWO0LWWvCdN7coVnF1dKSg64w4CxuoZoUR70B8HV/5dhKUAYBdOeiMp/TxdijdV0FxHum6+ZRBg0BQTsAOBfBJShJOjQsvodx09J+j4UdN06C0smAB9bVAsZm1McsVlUNwkUvybSL5csFkNbho2n70oAbkF0u5DzcvWMYZLkniGtqC+5rvwbcpABfPlYpBRQdIJISgi4H8chGAIMzJAe3ZgC80wucNRAqxqHTgMMC8N8aAxSgKUX1+QqURiiKr8bFxTNANAVBhMh6wy8C8Js3gVM6AEhjGXCPBKWHnowkz00svMeRRIrWenIH1oBnBFoT7zWjyNysjPSXIZHNGvjna8f04sSc3jwC4LNqAPz3MKE6Tn7ykT6f1KNaAOALLgXV2YmxktrzeIYkhiFMK3+AiAv+YFk46UJSRGa3S9YX32rcT/Ie5eY9VN6mr34YcBfxLVf8zmvrLKEDN7YBgLYxxm2zvNFwDHhoXe3a9eW6lZUD4Mc9BPEAprmN0lUAbv49ura/7EUL895NJp4GXt4sbxb31DHlUQaJbg04WHgJSp4OoWUEX6SDA+Chx43T+no3xD1EbQPAwWhkgc0KAz6pjStRYFCzWrOm7IV5XLcmlVHIfjanDoDXC+/z+OWX7M/2ux8be/JT136HoCsFqnHLgM9Ofsz9O/ncSwBTyG89ZoJ1NN/IgLfKz4Dnr89RvKnAyT87wfTTU+T5l6NtPwVEJRjhiLEOwLMMOCVDENIYBtzjk0+ZgAq8dqSDoWnY9WyIWyUBLgAd9n40PUsU8DRhJvY0kfN+rDIBIEoYINkSA16eGcmfCMz2P6i1zZ3y1wB8qU3CfK39el3fT+xhLxaZo5/FY7nq/Aw0qaD2tCNiFoBHwg/AqY295Um4SSYZmqYv5gPgExtbHpiNYrFZ4LQHgDsNeOhS0i9BkZV53aqHBZ9QAkiGZkXr3peudrUMwFkeSyxqIdsUvCcrKS0jEL4CwK0GvDjaX4JiQy7RVh6gwQW0CPe68iSBgkDbxYCz8Ax4VozMgu/LVLO9BKE9uZUdh8Knq90ywvyqdXh0YEDwymatnTZA1PZyPy6Wm9Pqdj6OaGvAsEA/4EZa9rBp5nOtuPeieT58TwBux6HvvtBaWxeU7cYqjQtrQ7g87qfPm+davPoJ42rSHnV7gUc1Wm1cUBQDcMjQvNRg8lsTFG8qcPTNRyh/t8SHX/9hZOnrQchzyAZ3ARIjwroGPM+BMzI0RFETQwn/ZlEF3ixmowNoxSzTvVxaSiNB6YFIUR0uKBE3oJiz/gA4icmag1YzsdIm8cpPwQS2A+CfAdAdffWoeikHwKEWAPjpOZCVUHsez8SJOVZKOj5903HNwAPOMaODAdDEIHR9gqlLM7xCyzNYaoCY9oRGUOjgkhdgHgsvVpow3bF7Hww4sWl/zRoD3o+zxGppydYcSWjcQO2pN91USnITTrFQMW+hpzl4sv/rdRspsQI0tFYg0XaNZttWmlBIrb0AXGttLTrDjtW0OIDuYNy0nXNI6N4BxgFJ106HAJsu2AMDfnx4ZIDNCgAXZQMwhdDH+qvlPrdqOm9ajK18Q0ThPfIBQFrv5nrBbYaM7fWj/Vj31pIWq/cFAOhWW6vV7U4yoygHlYtBPOYzqu4Ztju7eQtsyEDKYzTNOgOutQaJGzQwTZgAoF4X4+I3LlB9rsLgzQPc/O6b8z/4wlMAgKce/xwo4YixrgHPc+CUjMBQAXUC5fEBNxKUsPdjfnRoNsQeMCxbAFwsbRRClVLMSrGWJYSOzOBRfxIUGtM1AF5fnJmf9bAZfxBrm1E0AfAxm4b5XvfV9xN72CuK3cCf35Di7AJIaijsx2KkudnVUub/+M0RGw/qEDI4PoQWHIyus9FlafXRgSUoyeDA+Ix64n0J7YcBdxKUZkXnKqwmXPcAhmlktHRiBdjcNwZcsjUGnEbN3g1fm8oc1640fsYNdBnGNkvYBak5X5agOK/1pSbMPSvPAaXglaBoqc0CGdghKBseQiluPP9XilggROOw8iHCTYCS9J1IUQX0AcBvXLMa8OWxomr7OaLfzanzGa/O5246DAa80gDNwr6SNoBetPPXTBrjiMLy/RjN1koDRLMOwFWjgCsw4ClPQLScBfG4ta45MyDsx87vIX4sBrnwM+AuxbXWRoICAPJLYlx8xNyzw7cOMXjTAO+68y6QhGD6/xo9+RO3XgBINGPA1wA4jsC1ZcA9PuCEiuAM+HBoexU8DZFoNRC14TfEmJsGAMvzt3OUiuP+ADiJLAO+IEGZTs1nH/dAjj2Itc2r/HkA/y2AX8UjG8L7VjwzTMViTKuaXgBUQ7P9FsZiaCb+rhCabcMUrlJHo2vWuWJ9gmlKO8kFlqBko0OjO/c4PRiWv4dYePu+rbLRcgbAw4N+ypgF4KtNmBpa0uDOEqulPWCYJVW/DLjgoHz5c42iBrIKk97aWiZKXCwDcDHbLJrF8Ke/4917X2s0MpKXhjkAPn9durEMuAw7VgejA2NX51vwLQPOeGDGLbHpm9LXhBn+WB8Ajq8fWqeHFQDuJGK0ZwbchYGdzwFkxMwYSnoIqQIAbQkaIeevOZJje839PPJlZJrp22a9N6IqW9uvsN18k0UJoNZtCJszs1n4Z0qivsmAe0dompfW/t6B45bEyCxb1Lx2Pucc/HtmnYuvxzj+1mOc/p9mPL/q8ZcAGnk14HkOjNUBIlUaBtxjm2s2xGHvx8MiN3O1935UAJf9MOD2hGY1/CtyALynUxrASCe15CALp6dNbQB42rM70YNSl75KrfVP3o8n8qiWi6dm50kWYmKVsMczfL9jxIPDA7w8Abo21KSHJpPBgQXgHo2brPuRZwyPrlmvY0/Ubk8acBeKU5XLMdBK2Im1BxaDpxEg2VKjF+Aik/s/ytOSgcbC2FxYsE/iGuqsv0nUsUVaKRBKoTXA4wqyDsSA20VBTZdDnMTMzYaB/AjBn3zNN+FP7nmt0Qi4p8lcgrKwGMpaAnx7ULNtFXmCSvotyIi9X+I0zGbGFY1TM061RxLWg9UiAEQxtdra5dep3AlVzxadrsnz9GTuGhLzCpjkGN3qSV9rGy2lmgMbZoFk8dhN759s/dA8MsBUrIebnU8q0x+xpQQlTxJgKhZcUMy4Oz0371VJM7x0qPD4C8eo6+eN5GSBTJA2JEewBIXdvJ6/M8Uwp7jxXTdm1rcAcPxHjnH3+15GUw/wxI07IDQC92jAswyYyCNwVRoGXHsYcCaCN0UP88jrGQ8ARFpHkj31+75yAHy174RH5t9x0h8AB+zasXB6qqTBOCP2cDRhbpOE+fsA1vKYHzVi9luRPSokC+CR2Ekvyva7Ka5dO7wEgEtoFZa9LA6uQ0s/A946NiowA3507Rj6PAL1NJoZCUofNoT2yHkVgNvGNt0HAHfMolpNwuzH6WW1jMa2hqob0DQxC2VSQbU9AnBptIttNUGcD9E0Giyp0DZhQKMb/rpaBhrSMuBKU4BoXMv3ZzFHI+AlxWbNaEosAnDzmYYG4GkKTDuOvJ1kiyVhU/CiJDPj1APAnfNS6DJODwyEy2UA5+QZfQNwK/86uXs2+16SlMDZAUaPh93gzIqYz03K+bIdUzNuj7/k1Xs9NE0SA8DVOjM8nlRWgrLd55jHKYhad/+ZTs4RA6iQ4u4xcPMLx9C6RtveRRzPHY6EvTclTXFgJSi3357gj138YRBK8MF79/DmwQA34hijd4wAEFzcfhKPH9+DZq9GRPwSlIk4RqymBoB7cisIE5ChXVBSMtNjrxa3p4uUhU+llDMAvrx2OACeZP01YQLu3lSQUoAxDm7lWQfRoyRMV28H8A779YcBvBfAz/T5pB4VkGUJIOksThyYh9jkg8O9HvvwmjmGZFGHCwoT0KGPvA9uQAkO5lnwHcgIzYAfH2XQYt2uDuhRgqJd+uZK856zdushlTLKYi+woT3p3FdL2+ah6ZlhrtpSgqQVVNvftaWMQLhAPTbA5mRcgSUVRBtm4mYpgW4ikBXLPNev4E46Hhvtb3k4GhnpkmPAFwF4Y+0rQ7ugpCk6Qzic7I1nYQFimg2gJV+3WUR/NoTA3Ilk0VEKs/uxb79hc7+PT+bzQZyPoU+OMbrZDwBnsAB8Ye2IWAUtGG686lV7PTYtcqBOoD3M8MWFlUhegQHXkJBsmQF3DZ5fmh/jhSMN/dw1AEDTPL/098JahEoZYTQ0J8ZnQoBQgntti2/7+MfxRz/xCQBA8VUFSERQP/8Yrg3OoGncDcDlNaRiYl7nimuXUqoXCUqamhwMHwAncAx4+PEi7T3n9PSAaW5lsQQUQZT0pwEHnHxRoRwb95OImE3VKOsvAOhBqktHkdb67sLX81rrvw/gj9yH5/ZQV5pSa1I/XzQoMUD14Hi/4I94YBh0Gqt5OsZC9SFB4XFqJCh8vQFr5tMdWI95MKTQIvI6PRAiewnF0dartVkB4Mo5S/QAwONhbpnuFfs60o+122oZR5IWY3vMfnYyBfIpZN0fuFHWsqu1i/DJeAqaTtEGAuBZmkDXKYhaNoCqrARFWpBxa3Rt72sdHAANYgiLW2ZyJcz945V/r7xzJYltZN0AwGngxTcvRgZkewA4peGP9V1JzzE7sQCc8v76FMwFzONX07lmOi7GEBdHOBiGZzQBgFgGXC1M7TyuoCcDXNuzCZMXI6CJoT2BapOxOfXb9nMsEqsBZwAEm38+yoCwJ7NjPHsggTtmvavr55b+vp2a68mxQFTXyGEAOAB8+Nz87EP2vzShoK/NEZ0PUMQVFIvByLoGPEkA1R6A6ol5nWR5Ay4aZewrA5/WJolt4Pfcj9xtiJP+ALhcsFsUShhXqzYCTftthnR5DvWFWTtiPgEUwXHRL/B/UOrSd5cQ8taFr7cTQv48+vZuelTIMuMYsKiP4lY/fe36E3s9NqUJtGCgsQRqTxrmFTrZr1JKxKCRB4Bbxo8GdusoChdZ7mPA+5GgKMt4iRXmVGm34Ic/WstGuekmXwE2hgHv/1Y1ntwtTk7NJHrn3gsA1RDT/gC4VNxIUCywuXcxAcmmaGWY9zfPUiiRgOrVQCWrO7Vj58mjMAx4gwTKRXIvpt+6/ogeJCiy48ibWckWS8MeP4+GI+g28lqR9tH47Wpucze/LtF2kxH1zIBbhr2p5+MoGl6gmh7hoKeUWEoNAF8koqO4hCoLDKL9QH8xvAbVJCaoZqWq86sB8GGWQmsBwY2MzTHglFbQiuHJZIDfG4luAD4xJIeqzd8dAji1APzXbfO0BPDXPvMZPFtVmF7LkZUJEtai5RE4XdeAEwIkGIKLsWHAabNk0VdPW4CHl6Bw7jbECkqtEykAwOMeJCh2fRALUrtatKBcAU1srAJ7LGUtQuszY5MZ8yl0mePGoJ9740GrbVbnv7vw/wLA5wB8dy/P5lHNKs4o6jGfeTkDALeuD4fXH9vrsQkh0FUGGrfAxYVZjRd/3gMDDgCyTRDx9cV3FpRDAuvOHQD3eKtSdoXEtiuUsIyXXA1wsBQmi8KzGMPDIfByBETLr7Mvmc1qKWUY8LMLswDfuWuitmXVIwAXBoA739jzu1NkeTgAHh8cQLYJKDyJphw403cBAK+6tj8DPhoBjU5m3R6uX8Bcz0le+pCg+F0XXDgPz8KyUAeHh9C+LAApQVgLtWfCb1fNGfD5dakFOaxnrSml5n533udKtWDFGNPqGAeDfo7ZqU1RXnR1ZWkFURWI9mxuy46uQbUxSOwB4NNzxMfYetM/SBNobRlwNWfAGZtCiRRPpSnef6yAe8cgOkZZfnbp74VlwF1UxoHWaww4APy9557DB09O8NeTa3hyGkNRgSqOwT0SFABIyRBcVmjpMSIYtxVm39P6vOrFlx8ApHCpqSUond973AHwNDwAV9ZWspqewx3mVU07Z8C7wkIClVbMMuBGghLHJfS0wOgRA25Ka/2NC1/fqrV+j9b6U/fjyT3MFeXEWOgtWPREtjFicLB/45euM5CkhTw/W/tZH77DQDcD7lwfSGB2uCjQGW5AWNuL5lTb16DWwkb6aWwDgGvHtwyTsNJsSonqZSO1WkoZS8Azyzrdu/sCAEDXPdoQ2kV+UhnWffyCia+WgUBcdnwIKRIwunxC1NjQqKk9gn/iIAwDXiOFtA2CSs4/x8Yy4KGbMJPE6so9DLg7MUrS/XpNVuvg+MiAt1UZWtOYdMGeGHDhY8B7PNZfLGYZZ2lPNdr2DgjVGLeHSJN+NhzMgn694BjC0hKy2p9VLI5vQosElK3P4+7eUNsC8CyBgjQAXFIAEhMhwHkFlAxP/ezP4vZNAIqBV69GWX566e9FZeYb3RiG+kBKnEnTbPvr5+f4T6/P781nJhN8dKhApzk41agTDkYdAF9edzI2BGtLCBnb1zMnU6bnpQHgfTTwz/TY/jyHqAcALqzd3/je3Ke+bFpDWjWxSavssZQ2DHhje3miyJzU8PzhYMC3kaAkhJA/Tgj5AULID7uv+/HkHubiCYEWy/7KkWUdomT/hVFVKUjSoj69u/R9EyfcDwMuZOQF4GQGwMMuhoyZJo/VxETAxQn3sLtPE6D1eR3bSTQOP7HcvPGYseUjKww4E9CBtYq+UjoCiRpcTM0CPD43UdJa9qNxBQBhF/kLG9xQvvi8fS5hQE1+/QhSxKDR8mLYWp1rZS3MRgF00o4Bd5pdvQTA+2vClIqCMLXcnAiA2nGUJmEZ2sPrx9AiXrcibRozVnvaLLpkxkWvY2Jp0zjrd6F3rKU71XCJjmMx6s2f3zXrLSYMsmyCtt6f4DgYjCB9mygArZVnKb0dy35QpNCwDLg0DPgfnFQgaQVUHE/9zM9gMgD0gIKdvAbT6e8u/b2wfTakNffLgZQ4EwKfrSrcFQLfenyMD7/1rfjkO96Bm1GEjz49Bkrz3jQFnUlQVhnwnA1BRYlWOwA+nwMmZ2NjC9oLA2712HK578Qx4HEPpzWtDYY7ffnF2ffq1jLg90GCIm0Y2MQSgXFSmiyHw7Cb/we1tnl3/zGA74Sh8CYLX4+qx4pjYpswFyQokZkwGNt/0Zd1BhbVaFcBuNC97fCVNEBttbQ9DqZ76hP91+xIF2NtL4wbz2OgjeaNpbYcOx0l4W2dbt0c2rS/5U69+9aEqWOAt7iwDJgozWROaX+d7EKahWNqF+HqwgSdaBJmkRrdug4pEtBoJdF0aq5XQoDf+8ogIOrgAKh1BhANKDJL2wSAduo0531owF0Ix4p/PBHQgiMLnIR5fFBAihhkBYDLuurFW9mVuysWmzCp/W7as9tCmh/Ya5vrta3RupaiR+25+9wWpnCWTdHW+xMc14YDc5LpAeDSbhb1lgB8lCdQurUSFAqtJV68WwJpBVpRPHXbbFaaJzjIC0+hLD8zex8BoK0NA06ti9ZB2+JMCPy6lZ983XCId4xG+IqiwHdcv44/eMP5DICrlABxAygOQpbXuiIagsoSrd3MLzHgNqVT9kBstHb8y5UQN9YjA66t7PPkzgID3jbGCa2NQFjPDLiMQJnAhZ1Xo2QKWeXAa17T63UflNrmrOhVWutv7/2ZPKql4tw0t9ElCUoDXSegAbxrZZOCxTUmZydYdBVXte3y7kGCIgUHiT0pePZomEfhdV9KRoiSZUZBaxPv3QfLHw0KA8DVqtbdHuv3EGxw47oNG6GrDPj90YBrxCBxi6kFi6QxmzqW9pP0BwDSLvKT0nABYupCqsIsUoc3buHubyeg6bKfu7AsH+STeN0H/lWQa8Ux0CIznv+SzTakAFCVF8DBnMUNVXEMSOWY4bnGFbABToIji8NKiA5GzNyPK+Ctnl70KkGZp/3Nr0td2FDe3ykNAGQHlsmzpwzNhQHgdY/2oMTKaujCkCH5GKLZH/Qfj3LcEeufIQC0rQtU227cDHKOCy0hOCwDLnHntMJxVoKVwOP37oEBuHiMYvTZJ6DfVqOun0WaGnAmbBpnVJnrHjQNToTAh8/PkVGKr1pocn1ndIT3X38BmNoG1YQCdQWi15/rIBoCskIzA+BzBnw6uQAG4e9HYA7AxXSMxUWZWjvJOA4vl9I27fZ8IShqUlemR0r07BAEQGkOQgXG1l2KpVPULz0O3NjP6e2LpbZZnX+VEPLVvT+TR7VUUTS36HHF4wqqDLNgyDoFi0o8Xy3vtqtK9hJ9DQBCchAu18ApcfrouA8AztecHoRQvQHw/OAQaGIAq57c5jlkcXjGzVhYrQBwpUy8933wAYd1EahKs1AxcgrUMQbX99dHd5WwSTmV9eVGa0OqAlnnDY5uoSlHIAenS9+XtblOqWKE7KGTNAeoAeCLTZjtTFcb9nMkZM6Ai3JVcyoAwRHxwFkAAytDW2nEnlYTEN5urR2+ainbjTip55spx4DHw34Z8NHQbUINiCrvmpOaugeCwxVNDAPuJCiirUGyCk2z/4nGaMAgRQTqacJUrc1zwHZAvygIpNYzalzBewAAIABJREFUDbjWAie3J0BaoZQaTCk8KSXuPE7Q/pYxHliUoTRiDNQxUmHY09eNx7jTtnj/3bt423AITufj9/qLBxgPMAPgiAFErReAj/IcSlVorKOVlPM1sh5bdxUVPsDJAXB36uWKMdeTEX6zGFlnlXI6t80t2xqMCSjZfxqlSzS+sKcnLJtANNksUfmVXtvMsH8IwEcJIZ8ihHycEPIMIeTjfT+xh704x1qIDI8rqAA6PgAQbQqWlHihXl58y1IAUT9NmELOu7wXywHwfRM+vddsE9B4xcmilpblDw9OR6Nj6DYGyMomwx4jZryf7m6t2ZLbi2pqEBo+MMJbFoALO5Y4HQPjAQ5fvb9DSFdJC8Abe/xM7ZgqijDawYPBNVTTA5CDsyVbMHfMfiGzoABcsRxwDPiiBrxxALyHDbF9zHa6fD9SG4rDA+Nh0xQdgUTL98bF5MJIUHrqV1C2CfP/Z+/Nw+y6yjvdd+3pzKfq1KyhVJJsGck2njBgwphgwCSdCyFNE6AJTnJDEjp9k74hSaebDoR0d8YnIUmHdMj0tAO5uWluEuhmDBAChCE2jgfwbMuSpdJQc51pz+v+sfapc6okY8na66hkr/d57FO1VXXWrrOH9dvf+r7fd/JkP93OzgR4QbMAr9bV9d4T/K1lFQGP8jZ2H0BkArynP0+fOqrGzGHuqFQgjV2Ee+ZKZhL1fLXPbZxKBVKZktggsgh497GTUPRZyua92U6HI7sk6QM7ADYVYsZxC9ktUY6UeLxpUaVRHPZ9Xjs/Dz/90/De98L11zP1B39Md91DZgEs4UklwM/ysFCrCogjAs5MQfG7aqzkLML9QokTNef6rc09JHopKJ4GAV6oqDk3DPqivxsOUYBLTwnwMMvHL3aIclipuVQ4l1vsa7XvheEMXDfzyHQ3C/DEz2cZKolKWIUOi63Nk2G3owRGoiEC3vMcTZIOjtPPhe4VfVka8qPj2MMqbhbgfifUluc+NjpN2nbPcCTpFUiWi3om/CS18QZywINOEzGsCHjWIjnNbqKO04ZWlZErdmgbMpZqko8yAW4LdYwb4/ksXY4URvA7VbBTguYpSiO71LhRGw9YC2vkaeMsnTIW8RkpKD3BH2tovdC7xrudLoNXnmWpHHA751PHtlXXwq2F2K2mamGu7VzNcnwXj8zDlWpTb1m/XNZrQ1ivlWmF/fFaq0swJkjSM52Z8sIuuaqLcpa++PhRZVoW5iBsqlXl1iFc5Y89WAMhs5Ub6xyL6ctlSCT9HPA0onl8AaZ8TicpaxWH2ZUVHtwxxi1L41hUNkXA47SFDIrUslWiG0+d2vi3N/7Yj8HxfufMm+76SWov/V/4okQJsFwJXojFmUK6VoNkJcG3zizCDII2VfopcHkSZvNRZ21l0/aeAC8U809BqY+qVco07j9QNVsdRqxhRcAL4MS04oQ0DRBeRBDrH3e7cC42hEfO9t8wdu7ZzNYIeBAHOF6XJIdCGoAkLiOKXVbjzRNBt1dIoyMCni3bBc3NebVWz3c4Z9szUBFw4fmQ9P/OoBVkAjz/CX9ypKFy97d03+wdx3LO7b17SGlvslsMWiqvVke3z60IVylRmQlw1+2QdiqMX3Zhba+/HYnM3AwyBwQ3axk9OXNhTap6FJwCvq8elvzmfH/cRF0fK52RXCPg2GVVC5HYG7acAHGYuaDI/AV4nOWxdtc2p9lYloqA63DJSxL7jELsTqsDXkiiacIXtvrslk71I+C9/grVkt4818rIZkeSdncR2hXss9TC5IXjCmSviZuULB3PIuDxhd97KhWIYwdhSaTcfBx7KzfuOabZlcsQp/RdUJKE7qoPRZ+wWOLwKOyZn+fumQgQuOE+ut2+AE9kmzQo0Wg2oVSi2mzy2Wuv5Y7nPY8DA+L7x9/W4NGG4LrV++mgHrhsN3nSCHi1qjpeBuJMG8K4lxKWk9vSIFEWoGptMUbopaC4Ghx7JndkPUUG6iPazTaWE2pJs9lKKooIJ6YdSjpZfURoBLjhYrORA545eKx0VrCL7VwKaQCSuIoo+qxFm4Win7W+TnQI8ExELM3Pb9reiw6Xao3cx4wSD4o+ftZpC6C73tGXglIukEbuGXnnPQFe0jThp6mFGBD9nWZLdTQdgg2h0+uYmD3kuF6HyK9QH9FnJRXLXoOT7OHNUYJmbmZ/bmP4Wb5o0D6xsS3N/L/X1ybyFeBuBQslwDelvGSRqTTnLrEAUVZk1V5d3LRd2ZA6W/tz5UKcOOBGm7oLdluBEuCaJnzLVe/bHCg067lLVTQ34imOZOkgmeCPwmVoVXGrZ+ZQ54Vto3pIWCmEIZ1FFRkO4ws/YQuFvgPRYG409N2s3OK5pdltEuCpRZrGJK0USl2mG3t5aCRm5+FHOToD2GAvb/YCT602SVii0enA1BS027yy0eB5WQ71yo4Gd+yAn/vlv+e2aw9x+eICzcwj3XZiJcDPUjBarUIYWfjizCLMeKPQVIMlYJZW12oub9rei4D3cvvzZHZOBUmsgRXbbruN5cTaajI2IYvgJAShYGlenafBEJy7tgtGgG9THEeloPQE+IkTR7ArTcIcmikASFkHS9IJN+cihtnNSyY6BLi6wWwV4L0UlEpVQw547CEsydrpwxvbOs22tgh4rSaUtdKWCLjQLcDl5rbirfWWtjSbrRR7zi6Z04Nb6BJFZSoaPM97pCgxIeN0Y0wZulR35Jf2EnQK2WtfgEuUcFpZmso1BcXyqtgbEfD+cdywJBT5i9MgE7ztldOb98VWKSg6BHiS2Jn3+IDTS7sDdkqa6rk2vMyWr9PqNx3r5Ue7tt5809KoC7GNlUXAJcuk7Sq1gnyK33z6KAetbPXU94nXlaDz5YXXZAjxbWp5smPqVc4tlXBiAgKsfgQ8jZG+DYWAXeP7OdyAPQ8+ROKAmCvAsd10u4f7bjbOGpFfpyGECs33ihfvUSVqv/FDV/CD//EQ++eu5Yh9IxNra6xlLkmOG0Opi82ZF3G1Cn7s4lu9xjj9v7PX0TQR+a9kxrJXzL55hbgXAR90KsqLXZdPQSo25mCAbruDcEItee5bEWQdRmOb5SPH1PjDSJvcJhgBvk1xHEgTW3lYpykLR+YRtXVCP58iPkso0RRtiYB321l7Xw2pC3HP9H9h84QvrBgZ29Q05GNGWWfExZPHNrZ1Wk2wpCYBvnnlokfv+2JRT5QvTS2wE+IsCt1udlWUfwh5fKVe7n6mKeximzAs4tn6buCxUGP2xKrndUg7VaxSfudQEmRFisFAioaIkInF0sJMrhFwu1DFScIzBHgvr1Zo+CyjVF0bnebmJe9eU5y8c8BBCXD1OlD0lTnZpGfJx82DUlWJrNDvj9mLSJ8tAponhdJAOggg7CaxX2Wsok/4b6Qv2il0u0hfFfVFzt5c3j+O1XWxtWEMmYhza+e28jU+Dr7YLMBtmYIlmWrMcXgULj/6BADdfQ7JgzuBBN/PginFNYKgRsNxVDg9E+Brtyt70A9GX+em3TcBcNi/jsnVVZqFIjKxsJ0Iak1s68x9rdWgI8p9X+6BSL9Mswi4lb8YjlAPB1F3c5sVy06QqUBoWAWrjXqq4c6A2UPQ7ihXIg1pb1sR2UpCmtg0F1SgIxiC8N8uGAG+TRFCFbtYdkzcabF27CSUfMI4n0JFK7vxJFu64HXbvSrv/GffNKuO724pMun5DldK+Y+ZpGrMlYFOX35H3eB0uC70BLhwznRBkZFLuazHXilJXIQX8MSiina11rtQCLRFFQfxsuIggfJYt8ptgkhvZNGxsshVolS/W+ySdPItcE2y6HqYtbwGEFaIjDyC5niuAtwpVPtFmAMt0zcsO938J/yQXsRtSw54loKigyhbkUmCAWu3zIVFR14twEhDBRvSqD9mLyItNKwsDGLbbGqoZrltwrjMzjF9Pse2DTJ21aqb72NlAjItHcrl/aPsIarT2nIfz9ysivVzW8m0LIjcAlIkkFqEQYKbifix6k5OTBU5cOwYFrAwaxHeq1IUg0AFU0RpnW5co+G6KmydNeBZu/3LzFdhrebwQ9f9EAAPLF/P5NoanbKAbgk3E+COdWbaY7UKbVklpucfPyDAe4Wmbv6GAYlQN5Q43tKIx04h8rR0TrUcCxl52AMBo6DTRrihtgfiQaSt5mcZu6wtqeMqnfw/2+2KEeDbGBUBj/Cbq7ROqahxLPNpbuK46sYj2bwUGmUCXId9XZp1ugw6W4owrQQSl1JJQ/OfbIlrdbkf5QszKykd+dG1Wub0sEWAW3aEjPUUtgEkURlhpxw9+ggAzabKq5WJ/puosyHAJUncRbgRvs5Of4BrZx0GM3s3p9gmzskjv4cggdBlvT1wvlqRspn0R3JNQXGKNZxURcBTORgBzzzyNQjwKIvi9ToK9hCWHo98UEEFgHjAai3oFX4LPedMbUzdM+20X/hoO72uwnob8YASF708XtvtEiYlZi87oG08x4E0dpSo8n3srEDZLh3M5f3DrD5o9dSW2oGe01P93Oeo0PM2GlB97Sv+hpOTbVdxL7uCYhSxL4p4bLdEnlKrv1G0SJrGiHILP67i1usqBzzrnFm47yHunYZT7zrFS+deShDA6WMHcPxV1QizW8KzQyXA3bML8BY10iwNMxmw6CMrPLW8/NMlU1d9bmmyxZffVsEbXcjQwx6IgCfrLYQbnXNDpQsaO2sEJBOXdlsFyZzSjPZxtwtGgG9j4lTl9a431wnWsyiVl8/J6XrqxmOLzTngQeY7LMl/ApYF9YSfhJt9Tnu2ZzpyTmUWVWit90VGbylaarB287yzN//pOUvoWNYHSGMlJE4fvR+A5nqQRcD1e6ra2YGzLUlrQd1Eu4necb1C5rySFfM55RZRzgLccmLolmh3++eOZcVKgAf5uqAUBgS4PIsAd7z8hWKaiYg42nI9OjFSUx5mnL1vc7kv3uJACUShYVkfoDKmLCRdpy9sLFelEumOgMNmNyur2CWKPGYP6ettVyxmOeAixm+3cG2ftFOhWMrnmuw1EWoubRbgG84y1XOPYMaFgqp9iB1KhbWNCLhtVxh9zrWkAg6trXHvdAyratU2ihaJYzUf+lEFRkdhZgZOnoQ4ZuzwSR7aVWCspATtJz8JtGaI0pYS4J0yRduHahuvcmazsGoV2ukIaXZvGWwN3+tZ4WmoVxLFSUgFabrZIcd2Q2QOTZSeDBm72E5fgIvVNjgJ0hqGAM/mjtgmiVWNRnX0Cu3jbheMAN/GJImDsCPW11dIskmyOLo3l/d26kqAF5LNAjzJ8jF1CHBRUkVA6Zbq+Z441SHARbacFXQHck57S97omXxVp7jNUQxhJ0iN9koyKyZaPPk4AH4rgkKAHEI+nVfLCpsQHLn/nwHoJHrEVA8nO1mkgDRNscpNopw88nt4XgrdEkE4kIJiR6SxC1Ep1wh4tVhGSCXAGRDgva+dc3SWOB/scuYBnG7O5RV2pC0C3nNCWj7dTwnrFZoKR4/IGJ9Qhbme1/9cbSckDYtalvW3ogoisxzwYoc4dhnbtUvbeMViLwIesdBaw3FVB+W87q9RtorRXNmSgpI5aVRK5/6wmJZKCBFCUKBUbOJZvZWJClfsuJpjNbji+DG+PunDurqXh+ECQTvrKBoV+wJ8fR3uuQc3Sli8rF+M/T//J0xO2NhWTKcMolOmVlAPD4XamQK8VoN2MoolIgg84nDw+lD755XzWYkexKtNqS7KcvPqqe0GpIG+gEYaFHG8cMOb3upkDwCu/uBN6qgohi0EllTzcmMmn5WaSwEjwLcxceqAE9NsrmJJJcCnpi7L5b29SSXAa9HmHPAoWw5OrfzFolObAkCwdcJXEXAdFtluQd0ok4H8z9DvRRj0COLILyHKWwtp1N+oC8tTAq27oiamTieEQqhsnjTjjSgl6gDLh1UKTFvq6fjZw8mKLYWA5RMnsSotwpw88nuUKhZ0S8RJX2hYTkQae4Bgbi6/sarFIpY8MwVFkEUENXSJrTYmkH4B5NaHRX0pKGnWwGR9qd80JU30poNMTI9DKvCcfrDB8kLkkDru9SLgcddHeBFxZCEsfcK/VIIkdrBFzFJnHcfzif1KfgI8u282z1LLA1Aun/vnKqrFDQFeLLYpySB7rwpXTl7JAxNw2bfu4fgk4DpY4QhRtEiQ3efiwOkLcIBPfxqA8NBzNsb4x3+El78crt919UYEvFZW6Spe+UxnGBUBH8UigKCwae7oPWSc7fculEZjJzIsIMRWAR6SaIyAx50qbrHFQkd9pnbW3ExoSHvbiszmLVtYuCJA+kVGp/T1j9huXBQBLoR4PGtpf5cQ4o5s25gQ4u+EEA9nr41suxBC/K4Q4hEhxD1CiBsG3uft2c8/LIR4+8X4W3SSJB7CjVhaWcbJWv/u3JlPCkphXAnwarT5Yk/8XjQqf7FYn8wuLGvzEptlqaIvDUNSykS/HGg0EGVL3mh4yAAIwgLCizaatkAmwDUVtgGUsqXUJCsY7D1ICU15tYN4mT+tIyWtJTWxtWX+gnEQt5IJcEty+Fv3Q7VNEOYr4GoTDnTKyLSfA27ZEWnk4nnwvOflOFaphJDBGRFwkRVJe+X8H2gmJ6ahW0ZY/fNUSonQZNEJEEt1jJrNfvpCr/GQU9DTJbY4UYROeVME3HJD0iEJ8J4rUjezWYujp/iFC6RYVKtwthWx0FrFKXaI/HJuKza9uprulloep5cDXj73VbfSeAlb+hB6uMWQUvYwaNtKgN87Dc+9/RtIC9LdLqIzqgT4uhKLdNgkwNMPf4i1AlRvUO4nJ07AkSPwohfB7PjODQFeKKsUFtc9M5JdrUIrHsORXQi9LcW76uBVNTwQT4+OIrslbLc/XipTLDfQeq7G3RpOqcXJpnIhceJeW/jhCXBXpDhuSNotM17XZ1+73biYEfDvlFJeJ6W8Mfv+3wOfk1IeAD6XfQ/wWuBA9t87gD8AJdiB9wAvBF4AvKcn2p8pxIkHdsri4hIFV00eM5fl0+mvUlEnfj3a3BAiCdX3UoPt2a6pKegWseytBYoJUlPErTaxV41BX2QkYZZzamsS4JkDiL/S94/uWbvpojqWrS5kFfRx3Mur1V9kVsxCay4pQUtNygHTWsf0egJcSB69X/n++lG+y8KTk2WSoIQt+qsZwlEtmq+/nlwLamul4kYKimRAKGYR8HP1Vj4fJiZnSP0S9kBudJim4Kj8aB1EWdP77oAA7y2560izAeX0kHYqeF5EJ1Krb7YXkGh26umRJjYOMUcPK/u8SLMAL5Ugih1sK+LR1XnsYocoKPHcnNLOpVDHKexuXsm0RIJMLcrlc7/P1abLWMKHoIDjhhREX4DPjczxwA6Xqx95DIB2Q0BTCXC/qTpdijU2CXDrW/fx2f1wxcxVAPz2b6txXvUqqNbrdMqgVLjCcc68Z6gUlHH1YBAUSOJBAd5Ls8n/emzUXZJODbsw4BAUB9gFnyTSFwEPgypOZZ3jJ1SXUbdX2F7Qu4oJIJxMgFspjheQBGUtZgzble2UgvI64H9kX/8P4PUD22+Tiq8Bo0KIHcBrgL+TUi5LKVeAvwNuGfZO6yTO8mhPrSxRKATIdoWRsXwuxGpVnfi12CdO+0uzMu5Veed/we8aV0/4lrs5Ai40RofHd6jOiO5AVCHZ8FbWMwEH2XLhqccf2dhm2bHKHdZEY6cSvG7WKEZmAty29aegVLLQmmeFG9EiYefXkfJsFGpZRzsBS6dUZDFKZ3MdY8fYOFFSwnEG/KPdkDR2mZrKdShGKiWsLAI+WIRp2yEytSich7PEuTIzPkoSlrCc/vXYCRKEE5NoauCUumrpPgz66Qu9NJtyRd+qSdqt4Hohj68+DqCiitFw/IaTxMUREYePq/PUj/QKjGIR4tjFtiOeWJjHKrUJumWuuiqf97eL6hj2mtL0cESCjM4vlbA4XsbJhK7jxRSEun/YdgXbsvEPHaDRajGdpqyMACsjRNECnc7jkFh4KxHLJeg8p3+/+bPr4ODEQaII/uiP4E1vguc+F+zxcbD8vgBvN6hWrz9jn6pVaEcTuLILkUs6KMDtGJlaVIv5r9bU6xB3qziF/v0miH0sz9f6sBiFI4jaOkce+xbQ77xZ0Hg99vCyZm0FYpUqFeRXq3ApcLEEuAQ+I4T4hhDiHdm2aSllL2R4EjZCaLuAJwZ+91i27cm2P2NIUnVyrqyvUSj6JK0aXk5zRrXqkUYOVdmhmfTzwGVvfbSc/zLQ5LiH9MvY7uaou6XR9mxssoxcr+MV+1HMngB3HD03NT9Wd5DT849tbNMdAZ+c7Tk9KPGWZnZZjqN/Oa+a2YF4ToDIWrW7lt5CmlK5gEwsXCsmaqm0m9i9PNcxdkzO4KclbG/ABcEJSWOHcs4LCxMjRSwZkaY26WAE3Fa5yhUNTaqmGiXSoIg9UDDcWfVVAydNAtypqjS0NOmnL4gsr7Z8jg1cng5Jt4Lj+TyypKLQVsEnGVIKShy7OI7PqZOqA3BXo6UcqAh4EBQRXkDztI2otojC/OaO4pg6hr1gTQ9bJHCeTk+lagM37UJQwHZjCq66TzuOOhd2PP+7SAQcXF3lZD0lXaoRRYu0gyOwMEk9WOD1X/pJbvl/vxe+8Q3+9099N588aHFg/ABf+QqsrsIb35gNNj6OED6MKLeNwv1vPGuAolSCbjSOm3RUBHyg4ZBlxRC61M8jz/1cUQK8jF3qz1Xt9aY6V2N9D4tJ0kA4CScOHwHAdZUAL1Xzf+jfSqmk5qdK6uMUukRB0QjwIfASKeUNqPSSfyOEeNngP0rlLZZbr14hxDuEEHcIIe5YWFjI6221k6QqSu13QtxSi7id37JXpQJp6FEQXdYH1kR7qRqylP/FNzICiV/G9rYIcFtfzmmtJkhXG3gDRZG9Zgp2QU+OW5iom8racj8FxXL0OUsAjE+qkGzBSpU1XybAN7pUasSyHNLAw7O7OFaIjB3KBb3PwqWSgLCAY8XYmVWfVcgnPavHrqk5fFna5GhjuSGJBgE+PlLESiJkujkFxXaUA0LtPPJqz5WREUHUreKU+y4vnaUmaIyAj0zvhW4RMZDW0ytsq4/qm/DjsIJd6PLQYw+QyhThBVkxrX6isIRd7OCvqs+5m+q9JotF6PplKPoka5NQaROF+Y1Zn9kLgEi3FAuKmPQ8C82ro1N4SVt1Y3RivPIapDa2rfb3hQdewcNjsP/xRzhajZGn6ioHPHkCTk8x3j3G8Tp86eiX4IYb+POXVNk3uo+iU+RLqiEmN9+cDTYxgSM78IRaKZtMbz3rPlkWFJ0RLNkGv0gi+wLctmLS2NOSJlGvQxSUsQfmquZKE1HwiTX2VYhF5k52WuXFO1mxcnnsTIeYvOkJ8GrUxS52CIOCEeC6kVIez15PA3+DyuE+laWWkL32+pUfBwbXlndn255s+9nG+6CU8kYp5Y2Tk/o6kOVNSubV3ZG4pRZhN18BHgcF7GKH9RP9CdjOcvCo5P85lUqcEXGDXuc9PaditQpxcxSvMtBsJFYTvlvRU/QVCRW96bT6zX90ptkAlMerENsUPMmJ1gnIUlHKGoqFzkbil/CcLrYbkXQrVCr6Hjagdy4VcK2AQuY/7FbyzTv3xifx0wJWqbvhNy7ciCTJX4CPjgpI4jMEuOUGyEiPAK/XIerUsKv9aHR3qQ1uRCL1XI87d1+GbNZx3C1RRaAxrq+EJ4kqOKU2Jx64Cz/2EV5AMqQUlCisQNHH7mZWhKV8U6W2YtvQ7I5C0cdLx8BOiZL8XDumd+xV7dwH7TJRzY3O1+mp1pjeEODCkjC2jJWObthDvmTPS7hnGi677z5O1iWsjCBlSFp+iHBliqm1ReYHUpXvX7ifgxNq9e2ee2DfPhX4AeAVr8DfOQq3/SC88a/Y/ZYz0096VN0aQrahWyJJNwtwGblaRGK9DmFQxBp4IG4ur0GxS6JRgMuSCpYU22r10ski4LVR/QK8l744s+Yjym2CsED92dMIc/gCXAhREUJVcQghKsCrgW8CHwN6TiZvBz6aff0x4AczN5SbgLUsVeXTwKuFEI2s+PLV2bZnDlkBXSVwcSrr+J38xJTrQhgUoNRl6eG+JZhtK3FsVfMX4EJAHBSxC1ttzyJtEfBGA8LWCE5lbWOblaXcFEY1FZk46sYVBQNjWjGJxgi4U3KQzTpuIeL+hfuVhy1QGdG/jAgQ+yU8p4NT8In9shZLyUFKJbWC41khpWzCKNZzTsyemqIZNBBuRBCcIPEThBsSJ3auHuCgJt+EhFSeJQIeelRL+YvFSgWCbhWrtrbxgNFZ6agIuKapYXq8QtKu4XibRQ3AaEPfzJvGo9jVVZafeJiVtWVEwR9aBDxMalDuUI7VeVrZeeNT/MaF43frUPSxHDVnRFZ+1m4z0xVkUMRlSwS80CE5TyvQ+ug0hUSloAAwuYCV9u9Z09Vpju0bZ//hJ1gbAfU/EIU1mot7mQp9/CyjJ0xCHlp6aEOA33svXHPNwGDlMvc1yhC7sDhJcfeTq+iaVwPRUiko9CPSdtYHQEdH43odAr+YOWiptLfVpSbCi7Q2VHNHlLVx1RJESbQhwEc1rkj16Alw1+1CtUVsIuDamQa+LIS4G/gn4ONSyk8Bvwq8SgjxMHBz9j3AJ4DHgEeAPwLeCSClXAZ+Gbg9++992bZnDEnWbtuz61i1NTp+vhdEGCoBvvpY35HAygR4saInGhWHmyPgYZRgORFJqqcwyXEg6NRx6gNiOLN2c0f15JwW6mqySxLl3R6FIcLR95DRI1kfpVBu883T30RkomakMRwBHgUVHLeL63VIgmLuEeKtlMuQRB6eFWAVex34cj5nCwXWVlVDj9bKvSwvroMXEsd27n/fyAgkaYJMHaTo12RYXkASudQq+ecNCwFBt4Rwkn5nwfVVsCSRJnE6OgpJp4ZTPDMCXq3pO2lSdiDKXdJWi6PzJxGFgFRbvsB2AAAgAElEQVRjVHGQWO6AcofRWP3Ne+deqH3MMBgHJ2FHJ3N9qeQXdR8fV0Wt3kBhO2QC/DybYY1XJ/GiTj/FYmKRMNh8z5LXX8vM8vImAQ5wevFKGk4/U/WfT/wzQRJw0+6biCJ46CG4+urN403uLvG574Lrv/7k0W+AWqFGKpvgF0np/52O1yUJ9YjEWg0CX30OraZqVLW4qNIYU42dhccmlGd6vWxxZO0ITmbX2ajonztqNYc4cqHcgZKP5eabRrjd0bcm/iRIKR8Drj3L9iXglWfZLoF/8yTv9afAn+a9j9uF1M1M6t0ylLu0g3yXhPywCOUOzeMDKSiOjwxd6hpslgDi0MMqdiBNwbJotyIodYlX9aUG+Z0aVqlDEnewnfKGAC+fR8vk82Fs55zKc7VU5KS91sKyY23L+j2i1iiF8joPPHEXB7MW26Pjw0lBCYMRrFIHywtptitcec1T/86FUCqp1RTH9rELEWlQoF7Pf5JabSp7s9bqvaysz0HRJwrd3AV4vQ6JTEm35oC7IXHoUdeQggLQDZSSCNqncEcbdJuLlIAw1ROGajTgcLeCN9Z/6Hcy14VSTq3Sz4Zb2wvAtBjh/ocfYH+tOzQBbolJcBLq3hIytZjdrd8tN0jU3LG7q9LgvJH85o6xMTjaqeIVWhvbkjTFLrY3zqdzfq/SGIn0iaSnxMjkAuvrm1Vz+XkvYua2P1ed6AcE+OLKftZ2NQBVWPvxhz8OwItnX8yJE2qK2dos60s33kDn4wkjT6GgR6oeKW3wR5HWwGpNsU3g6ykUtG3oZA4txx9/gJHr9tFeV8cvRd+S4twVezh10qVcC3lk+REcV61sFFz9NoSVCoTdCs60WoUvzNzwFL/xzGI72RAatpAW1M2mnuVLtsJ8O0R1wiqUO4Qn+zZkjhOQBiXGNYnTKChildv4qyri1l5sQrlDpDEfs9tVud7hmrpR21kzhbqGdsIAs5ftRa40cD31YLN+ag28kFRjDjhA1B3Dra6xfP899D7N8rj+myiAH4ypKEZ9nW6nxk036R2vVILAr+LYAVXRJO5UteQOdsMitCq0mw+zeOQIeBHtTjl3AV6pQJxKUumA1V/aF55PErvUq3qcM7q+UhLNxcyho63sAeNUTzR6dBTCTn1T3rljh0i/iG3rs+cbmVbL7DvsEQ4//Ah4EakYTgoKbrbSNn2KpF1h5079024o1T1vSirTgUotP9HfaEDYLeOW+oGbwPexym2ipyHAQ+ET9VIsKh2W1jY/LMxd+SLqzZUzBHi7GHB0T38V83e+/js8Z/w57Kjt4HhWDbZzS0B13HWZPQf1XK0CSao6UFoqAi6lxCqqvzEvR5mtdLoqJePksQcBCDMBjtBTrwSwa84hXZiiVGvy8MKDOF6M9IsIoXfFFtTn3PGrsENF+qtjzygju6fECPBtjPCUophBPR2GSb4CfL0zBeNLxCuDETcfGRQZr+oRbmFQVN09l9SE315sZQJcnzVXK8hcSY4/AICTLZ02anqaxeycKZM0R3GLKkK0enoZqi3CSG9idBRPYNdW8I6cxBVqadYpDqerWBSPbAhwP9yD0NxLoVQCv13Ddn1K7jpBa6RfbJUjqZfCep311imaS8rHudWu5i7ALQuSVCi7Mbv/QKw8gF0tXWIBOlnKwMppZUEW+JkAF3rOm1IJgk4Nu7ZO2uuAWeySdPQJDIC9+5UAHyl6NE+ryb7XUEY79b4AD1p1xoaQFdZFXQzWpPIyqFbzi4AXChAGJexykzTLa++urCNKHaLzbJk+WhwlkB0C+qsRJxY27+tVU1fTEk3atRhOzuDd83r44T8hKZ/kod39e+p6sM73H/p+AObV9MKup6nnqlUgFMRxERwfKVO6QYBV7hAFBSxNyqnVUQ9KqwvqepQdlTopPH2rJvU6hMvTeKMrPHHnF1RHyvNMJXq6lMvQ8St0d6sHxZERvQ3cthtGgG9jnGwJaKSs8sFiK9/8qMXFa6DexEr6+dG255NqFOA9j+xTx5RHdmd1GZxEawS8Eyi1dPSoEuBu1mlsYmSHlvHGxiBqj+CWMwG+uALVNlGkNzE6cXYgigFTzSLFgkp/cV39lewAIaNQbUG1hUzmnvoXLpByGYJuBVEIsOurrK1PaYmAW0UBnTJr64t019QksbY+oiXHPU6LqjDQVg42qZQILyA+T2eJ86GTnZMrp9X1GEfqnE2FnhUwIfpRviBU4tAtdki7eh8UdxxQArxYSylEqlRIinwDGk+G13Mimj5FZ2WSqt5nDQBiK7t/z6i5Y3Q03xQ/Pygiak1WMget9mIzszs8PwHuWA7VYIGQ/v3/8SOb57nZkVmOjwpGu6tERYfoZ38aDu+nKh/jzl0WB8YOMJ05IP3o834UYCMCfiECPA5comy+StMu6ydXEZUWQahxrorUvTPIcsBFVjfglfXlRgsB3dUZvNFFgtu/gutG511M+3SxbWi3G5Qq6sF/bMwIcMM2wXWzSSnLj0oLM7m+/9Kysl/3qn2/attTDSqqmmzkgqy50Mnj6gm/u6qW2IJEYwpKrCbAhWXVt8nxOqTdEtWKnhzQsTFl7+ZW1DJ7a1UdvyjSKzIKZVVotcOZo1RdJW1Vse0hRcCtERhdA0uS5mwHeDYcB7pxFQoBjK6ydmpaSwS8OFaEdoWou0TcVWlTS2sTWgR4KoskiYfMWsN3ogRR9EkifQI8kEpot5rq2kjTTIB7+sK0PQF+9Og3AHCKHWLNAtytVkhOT1NsrLFDqs/XLRzQOmaPYjETw2MrLLcnta8OAQiRnaDTp0hCl7m5fFW/H5Shvs7DDzwOwOrCApT8p7XKt9tN6Qx0Jb7vvgN0BrrcW8JiZbLG9NIS7YZAhpKFCThoL/NAscl0dZov//CXeegnH2Lv6F5ACXDPg4mnGX8YGYGoXSLKaiGSpM36iRUodwgCfbUDqXcNJBYk6l5jZ305SmN6HxbXm7txRpcZPeXjFdrEgeYq+gFWVvZsfD09bQS4YZvgutlNMxPgjptvFKPbVXZYxbH5jW2W55NotAJKsgYLK1lDJL+lolGRxirv2Fb2dJ2uKvxyCl3VmlpT1ku1CkGnil1bRUpJu6keMuJU75L31MwhAEZroxTqK0Sr+Xn/PhUp/ZnOrQ/nJtpmBEpdGF3l9MqMlsjinrkGdMoI2YTM1ebU0u7cbQgBnLhInHgIOyFNY9prXVX0qVGAW+UatMtEobo2ROb4IEr6iqI7mZ3qkQfvBMAutYh8/RN+59ReKuPHmS5krivj394JIy9Kpf6JuRwN59oQoh+8aTUnmZ3NV/V3ojo4CfMP3gfAepZSGMXnL8CL11/LI7P9AMz8/GU89tjmn+numGDXwiJEKrXuH14O1+yd41TrFFOVKS4fu5wD4/0HqgcfhL17edoPO2Nj4DfrRElfgLcWlsCNz7vQ9Hyo7TkIKw0cW91rvCwdrTajd1VxPdgHwExlP+7ESfy1nC1dvw2rq+pvi2OHRmM4pgHbBSPAtzGel91Es2XEV78636iU502SdEsUR/rdQa1ClyTSJ8DtbGL3myrtxe+opaco1bfkVR6fgWaVNFVjOsU2SbesLRIlBPidCsJJCKNlwo6KZsTo7TCw75rrACg2BF59iXBtOBaEAFG0b+PranU4wj/0alnaS5v5zq7zaoF9rsztn4ZOGdvrqsYcwBOn9muJgBepkmQPolIGLJ9chUJAHOkrhqpMjsDqKEmqrkORFZx5I/qWvDuBugesnD4KgFUZjgBfW7sCb/oJvIkA2aowuusy7WMCVCr9B+8oHs416TjZ3DG1QJhM5X6vi0L1wL187HEA2itqjvKT838KvvZf/V90u1/b+H5+fj+PPrr5Z9LZWXYsr7A8ogT4p2/xOXDTTZxun95IPxnk9tvh+c8/713ZYHwcgtUZfHopKB3Wl9Tf2A31zVWTe8okaw1cTwlw11XpaOO79EbAY64AoNw4gDV9En9dT3rm2Wi1lABPUxvLGsLy0DbCCPBtzNSUrarK7ZSoXeVFL8o3ZLtzpyBanqQwdnpjm1XwiUN9RSa1SXWxyUiJmcBX4jSS+ibgySv2wkoDy1YpIXahQ9LVO+F3s/d/ZP52kkTlSaaWXvuxyX0zyGYNp9HGaSwSNPXbnfXZv/HVyMhwBLjjVMBThXx+qCeyuPuK3dCuYBcCbFuJ08eOP1eLAK/aDeJURQKTpMvaEyfBkviaPPIBdu+bQ66N9K+NTIBXqvrcCPxYCd+wvQBSYpXbhOeZO/x06LZvRBRCxl/098RH9lMbH056Vi2zQATodC4fypijowN/m8h/NSOMlVVg0lWrs63MrSN6Gqt8z9/1fH73j/6MneM/Q6XyMqKoeEYEfOTA1cwsL/Mffinlp96/xHNOf4POTdez1F06Q4DPz6v/XvCCp/GHZYyNQXP5AG2rHwFfWVaJ5S1f30rm9DRErRG8rBum54XIbpGpht7CgeKYWj1N9wJOQrc9PDeScllF2xcWrhvamNsFI8C3MXv2QDuz0Fvr5P8EvHMnBEsTuOMnkVIShyFWqU0Y6nMk2X35VQDYUk30YaRuNLGmoi+AvVfsJl1t4BXVWHapTaw54tbpKvH7wN1fBZnZdTl6haltC7on9tCYuw+rsUJ7iCkoO3f2BfjExJVDGdPz+sdQCD1LpnNTddJuGacQYlkdZGLR7ExqEeCjpSniRF17aerTOqnETUdjB9WDV19P1B7ByRx7LMdHRg71ir5zx6ochNCFdJ243UJU2oRDyDmt7P7XG18v3PsK7d1ae4wPWIGur19AWPY8mJgY/DzzF+Cxp9St56gUQr+rVlDaPP3r8Irn/iY33vgPjIxwRgT8e29+JzPLy5zaYXHPtePsOvwVfu3uDwAwVdk85oPKwe+MJjznw9gYHA2vpGv1HojbtFbV37qS6gtszMxA2B7Brayz5q/heF3Sdp1KWW9kuLbvAOl6nb3XfAoAP9jzFL+RH/X6d3Lnnd/J3Xd/aGhjbheMAN/GzM31Pay7fn6dzHrs3And5QbW1EkWA5/loycQ9fWNZgA62Psc1SbYs1RuW69bZOrq6UoJsHdXlag1QiET4Fa5Tawxjw+gnXm2rxw5AlkrY7ucbxHt2Xj4npdQmFEFdfMLw3F5ADh0qC/YrrpqOJHF4oDF4vi4niXTCc8jCstYXkS5tkKyMg4IdNQKTU8dIo17ArxLJyveXYv0nat79pSIunWcchYB93xkt0xDR5J7Rnn3Hlhp4No+C0ceBiAYguvCD/zEGPO/+x/g99/J0YemhybAd++GZlPd3+J4OFG+ycm+6Lbt/O8Dxfp1yMihWFWiNE3Ua+JdWCMVIeDQIfj61zdvt/bMMbPcb3TdaTzKf/3yfwVgf2P/pp89qjKb2HMBGnJ8HB5nL37WqzCO14l9NX8sh/rSM6anodup49RW+fLjX8Qt+iTtqvb27Dt3Ocx/42WIWhPW6qzW36B3wAGmpyf4mZ/5PIXCcFaHthNGgG9jRkchCJQAj2M9Ary11ECUfO554HZOP/owWJKmRgE+Pe2QNusUsy5qSZoVfRX1FSdNT0M3KONVVrMl7xaR5gm/6zwXALm+juOqG3chq9DXyd9+OovydYssLmhuRznAwYOCn/mZz/KWtzxKYTgNBnGcfg7vzp16HC2EEHRtFU2s7DxMsLSDSkW1jc6b0cuuhFhFu9PUJ2yrwsiVWF90eHoagm4Vp7qOlJJCaY1krUGjom/Je2LOI1lvUPR8jh2+C4BuoN+T27Lgb5Of56+PTPMrX/xh7aKmh+PA+973T7z73X9LrTacQXfu9Eiz1KVC4Tm5v//4hEu8OEN5dJmF9gJ2lsJUrVx4B643vQnuuAPuu29gY6XCa26/nXffdhuHP/IR5m75lxv/dOXk5hW3ngDffQHPHWNjcJxdtLOGVI8v3YUUKl2yE+h7iJqehvXmKMKL+KvP/w5euUXUrWlr/NNjxw54///4JcJvPZf7//pWRsb3PfUv5cStt8J73gM/+7NDG3LbYAT4NifOLPSE0CPAF1ZUUdAT37idlZOPA7Dq65t8q1WIVscolXs2S1kEXKM4bTSgHRSwKi1Wjz2IVV+nu6Yv4g4QjSmHBTcJKFaWkIvjjEzoL2z5w4+/hL/93ddy+x9cx9rU27SP16NYhFe+8pV84AP7n/qHc+Kaa/oT78GD+orbkqqKBjs7jtNe2ckOTYexetk0MuoL8CRUy/oLUp8zQKEAQaeMcGKSZB2vvkK4PkatrG/Gn5iAoF2nWGrzzW9+BoClWF/R5yDTe+r83u2/yHqyY2gRcIAHHjjAP/7j67hhSJ22d+4Ey1IFi7Va/gJ8ehqCxWlKjdN85Ymv4JXWSVdHqdUu/L56yy3q9c47N2+vfPCD/PL117P3t397o+EOwO76ZqX9xBMwNcUFPWCNjUGCQytR1/4Hv/wbG52Ni9FLn/4bPwWNBiyuqJXS8MFTuGMLtJr6rStnZ+EbR27gNT95D++87f1DezgFdQ9673vR0sdhu2ME+Dan1VJ3bB1RxZkZePykEkzRsSMsLanKl9W2vmi0EBC0RvDqy6QypVBYI21VqZb12R4JAWuhWkq850sfA2CxqdfuaGSmjmxVKTkRxdoS0cJOpkb1WyxdcQU84f4NP/fZ/025rL+V8CC//uvw+tcPb7wXvKBvzfWa1+gbp7yrP87Cyn5tAnx2r02SRcDDuImUKqq4LPTm8vuZB/f8ygO4I4t0WyNaxenEBHTaI7iVNfw11V20E79I34ADDB67YQrwJFGvN988nPH27IH5eRXFHBvLX4DPzsL68gzu5En+4mt/TKGySrI6nstn2ksd6UWyN3jb2+Df/ltwXa7fcT2e7TFTnUFsUadHj6r9uxBqNeUjnkoX/AIvGj9IqdQmbdUoFPSpU8uC4221mvc8fxfW+BKr6/qtK2s1+MhHet+JoV4bz2aMAN/mjI39Anff/TJarbfm/t6OAyc7auJzu6t02spmaaV5KPexBum2RrBHl3hw/lG88irx2hijZb1L0OuhEhmt5U8CMN/V+7i9cydEzVEqpTaFsVO01qZpVIfT3ODmVxSgO87S0lCGu2hYls3Y2GuZnf15rUu01xzsq/tP3fE6bQL88suhaysxcf+pu0FkHWql3tzITqCuja987RNYoyu02zWtEbCJCVhpTmDXV5mqeMh2hbhyrb4BBxg8djpsK5+Mz34WfvVX0VI7cDaqVfjZn/0M73//7zM1lX833D174OTSLKLSpv3V+yg0FglWJ3MRbuWyOkeeeOLb/9zpd53mvnfed8b2Y8cuLP0EVNBm1y6QqQ2ro9xoj+NV1onWxrSL05WOmn93j6nrcml1OJaAg7aNRoAPByPAtzlve9sOZmf/gbe/XVOO68TzkamgJJrEqVJsa53v0DJWj057HNFY4bOf+TRebYVwfZTxsl7LvGJ4E7JTonz1FyCxOObrazQCcOWVsDK/j8oVd2OPLbPWGh/ast6P/Rj80i89O3LqrrnmE1x22a9qHWPnd+8nOnEl/so4//vzr2KnpmwJx4GupYowv/DNzyDsdWTgsSt9tZ4BM7qpipQu3PNVhCVZa41oPVcnJ+GOh58Pbsz4tbcTndxNTWPjn0F0Hbun4ju+A37+54c75ktfejkf/eg7GdOQnTUyAg+eVnUuP+i+EHf6OMsLc7kJtz17zhIB37oPxREapTPnjfn5p9+Cfus+NP0RWBuhefw+itVluit6HJAGCSsqtW5y5yMAHFscTnHixVodejZjBPg2Rwh4wxvQFuHbf3mJpDVKpdSk6K4gmzV8qbdBRTfYB5bkwa9+Gae+hN8aZaKqNyf7hpfcwtIdr1LffOEVpOLlWsc7dAjue/AFiKpyQHns9GVDE+CWBb/4i3Dds89WVQtCCNwdd/B9bzkCCA5o7GCe2OokeejBO/GKXdJ2jQlPr5tNWFcnys6yirgvnJ7Veq5OT8M/3J3lKtVaPDH/PCrl4UxF1w4n0L4t+NCH4ORJ9WCXN0LAwysqF7owcxJhpxw+9hxmcjJ6mp2FI0fO//e6XVhZyedBa3YW7l27HFYatGop7sQ8pxfmtAvwfftHCBamsZ97DwB3ntT7AN5jsDP0MHPAn80YAf4s56qroHVijtKeR6mNrhGc3k2lpM8HHGBdvFKNXSpgNZbprOmPDl/52n38/cP/En7jXZz6i5+iYOttQ12rwWfuuhWAaHGarzX3mqjCJczOnSV8Xy0JHzyob5y0rNIF3uC+jGJljXC9of28GT2kBPj4gW8B8OWjL9Z6PQoBM7v30zy2jzRyueehy4Z2beQlEC8FHEdvyovL1cQL04y85O8B+Pv7v/OCrP8G2blTPTycLydOqNc8IuCzs3DvfVMkaw0Ku+cRo2s8+uB12s/VgwfhkUeUg1Vz/nLi5vAcSd78ZvWqw+XJcCZGgD/LuekmOPnINdh7H6d42QO0lndoF8N247uQsc3c3ocQTsLRU5drH3NiUhAnj/PXhe/hXe+tUyroz8fetedq7n7H2/nW/3oR4tMzJqpwCXP5wCrwIY0lEs4uFV73TicUxk7QXNypfcLff3mVqFmHapvo5C7+6Zvfqa0Tbo/rr4e3/dh9XP7on/MHH3r3UB9OH3vsTJ9pw/kzOys4ce/LAJBBga/+80tze8CZnITl5X7x6rkyP69e84iA79kD8ckSzcX+E/dd99+oPQJ+8CB89VuvAOCfH3nLUOeN226Dz3wGnve84Y35bMYI8Gc5hw7BXfeq1AxRCDm9vFv7ZDg1VSQ4tp/y9V8D4JN3vnYoN5mDyY08cf2XeP1vfXEo473gBfALD3+A/3rbH/J3K9+Lxt4mBs1YFvz4j6vCPZ1R1B17VbrJuihiTZ/k2Cn9qUuXXQYPfktVYD3WPIST6H84vflmWOsUmfuJNxHhDTU3e9++C2tTblDMzsJ7/9tvwMpe7v78f2b3Hju3B7eJCZBSpZOcD3kK8Of0zGPWX7ax7WuPvlC7AH/uc+Ev//IX+OIXj/E3f/PeodrzOQ686lVotz00KIwAf5ZjWXA8+r6N7//8C29lv2Yr57k5+NZ9L974/mt3vWQogvin/59biH7xev7krnf1b64aeeMboUuZBaYoFjfn2BkuPT7wAQgCvZPTobkpZOgyPvM4OAmPPXIVE/mbWGxi7174vT/7TebnX8MnP/4hRvS7ZZ5hx3e93owwgwZmZ+GxlTnW7cf4d7/+Lubmnvp3zpXeOb+wcH6/l6cA7610ndp3M/zZrZS/+lestxvaBXitBjfdJHjPe3Zx112Cq6/WO57h4mEEuIHrX1yhnbVK/qd/eiVXXaV3vH374C8+o5rELJ96C2nqDkWAC0vw0IF/QZcybxhCp919+/oRnHe/W/94Br0Iod+6bvduj8U7X4Z341cB+Mbj11ywpdpT4bpQq13HW9/6KT760Wle/OKn/p0LpVCABx7of59Hzq5huPTyvV/3OvVE+p735PfePQG+uHh+v3f8uDq3GjmYak1Pq/e5a63GSz/wxxS/R3XfHEa61L/+1/2vTTH9MxcN9dGGS42bboK3v/2bFItt0tTWLsB374Z7vvWd/PEf/wMf//h34HkwrrfXyAaf+hR84xvDm/BHR2F9XfnyGgxPxcwM3P2xN3PzTZ8D4M77XnLBTUXOhdlZdV0A/MAP6B8P1BL/+98Pq6tmyftS5MorlTtXGCqbxZfnaCw1mblSnq8An59X0e88zichlEnBPfeAXbHpdtV23RFwUOluDz0Ev/3bDK17qmH4GAFu4EUvgsXFviLdp7no2rZVAc+HP/yyjfF0NlIZZP9+tKfYbMVUlBvOFdeFv1t5MzfzfxK09xGGJe0RcFC+8UEAv/M7mwtOdfNTPzW8sQz5snOnapbz7nerJpV5ciEpKHnWE9xwA/zJn6hi0OVltW0YKVoAv/mbcOutel2XDBcXk4Ji2LRcF4bD6RA3uMRmMBj6zF5V5tZbH+NNb/06ljWcJe9rroFPfAIOHDDRaMO5MzUFH/wgvPSl+b5vb0X06UbA8+KGG6DdhocfhsOH1ba9e/N7/2+HZanr0vDMxQhwA6Dsh37lV4ZXKPi+96kb2jvfCR/+8HDGNBguBa68Eo4c2cfa2iRvfevF3huDYfiUSlCpnJ8Al1LlgOctwAHuvFPNV4XCs8tL3qAXk4JiAPJfQjwX9u6F3//94Y9rMGxn3vxm+OVfVs4gt912sffGYLg4TE6enwBfWlLR6jwj1IcOqa6QX/wi/MVfKAcv3R75hmcPRoAbDAbDNuLQIbXkPTp6sffEYLh4TEycXw74o4+q1zxrfBxHpYH84R+q76+4Ir/3NhjMs5zBYDBsMy6/HO3+3wbDdmZi4vwi4D0Bftll+e7Hq1+tXmdm4L//93zf2/Dsxghwg8FgMBgM24rzFeCPPaZe83bxet/71Hs/8QTceGO+7214dmNSUAwGg8FgMGwrJifPPwVlx478fbqF0G/Na3h2YiLgBoPBYDAYthUTE6qostcA56l49NH8008MBp0YAW4wGAwGg2Fb0bP7m58/t583AtxwqWEEuMFgMBgMhm1Fz07wyJGn/tluVwl1I8ANlxJGgBsMBoPBYNhWzM2p13MR4A88oF4vv1zf/hgMeWMEuMFgMBgMhm3F7KwqgDwXAf6pT6nXV7xC6y4ZDLlyyQtwIcQtQogHhRCPCCH+/cXeH4PBYDAYDBeG5ylXk/vv//Y/F0XwoQ+ptvE7dgxn3wyGPLikBbgQwgZ+H3gtcCXwZiHElRd3rwwGg8FgMFwob3gDfOQj8LnPPfnPvP/9cN998J/+0/D2y2DIg0vdB/wFwCNSyscAhBB/CbwOuO+i7pXBYDAYDIYL4r/8F/j85+FVr4JbblHOKHNz0GhAswm33w4f/Sh87/fC6153sffWYDg/LnUBvgt4YuD7Y8ALt/6QEOIdwDsA9uzZM5w9MxIpFEAAABHtSURBVBgMBoPB8LSp1+GLX4Rf/3X42Mfg3nvh2LH+v09NwbvfDT/3cypf3GC4lLjUBfg5IaX8IPBBgBtvvFFe5N0xGAwGg8FwDoyPw6/9mvoPYGUF0hSqVSgULu6+GQwXwqUuwI8DswPf7862GQwGg8FgeIbRaFzsPTAY8uGSLsIEbgcOCCH2CSE84AeAj13kfTIYDAaDwWAwGJ6USzoCLqWMhRA/CXwasIE/lVJ+6yLvlsFgMBgMBoPB8KRc0gIcQEr5CeATF3s/DAaDwWAwGAyGc+FST0ExGAwGg8FgMBguKYwANxgMBoPBYDAYhogR4AaDwWAwGAwGwxAxAtxgMBgMBoPBYBgiRoAbDAaDwWAwGAxDxAhwg8FgMBgMBoNhiBgBbjAYDAaDwWAwDBEhpbzY+zBUhBALwJGLvR/PUiaAxYu9E4YLxhzHZwbmOD4zMMfxmYE5jvmzHT7TOSnl5Nn+4VknwA0XDyHEHVLKGy/2fhguDHMcnxmY4/jMwBzHZwbmOObPdv9MTQqKwWAwGAwGg8EwRIwANxgMBoPBYDAYhogR4IZh8sGLvQOGXDDH8ZmBOY7PDMxxfGZgjmP+bOvP1OSAGwwGg8FgMBgMQ8REwA0Gg8FgMBgMhiFiBLjBYDAYDAaDwTBEjAA3XHIIIcTF3gfD00cIYWWv5jgaDAZDTph76qWFEeCGSwIhxA4hxA4AKaU0N5pLEyHE64C/BXUcL/LuGJ4mQgj3Yu+D4cIRQtwkhLjlYu+H4ekjhJgUQlTB3FPzpBco0okR4IZtTzZBfAL4b0KIT4MR4ZciQohXAb8EPEcI8SMXe38MT4/sOP68EGLfxd4Xw9NHCPEa4A/Y0inQ3FcvHYQQ3wN8CvgtIcSHhBAjF3ufngkIIb4LeIsQoqFzHCPADdua7EJ4P/B/Sym/H4iEEDNgRPilhBDiZtRx/Cng54GDF3ePDE8HIcQLUQ/DzwO+34jwSxMhxCuADwM/LKW8QwhR7t1LzX310kAIcQh4H/ATUsp3ABXgC0KIq7J/N8fwaSCEeDHwWeDtwKt1inAjwA3blmyZezfwo1LKvxdCXA7cCPycEOJPhBBFM1lsf7Ll0ZcD75BS/gPwEPA2IcT3Xdw9M5wP2XUmgR9EPUztAv7VoAg31+L2RwhhAxPAYcDNrs/bgNuEEH9j7quXDF3gXuDB7Pt3Ai7wLiGEbY7h+SOEcIAG8CbgD4F/AdwyKMLz/EyND7hhWyOEKEspO0KIMvDrwDLwWyiD/VEp5asv6g4azgkhREVK2RZCOFLKWAhxK/Ay4OeklItP8euGbUQm0HwhxCuB7wEWgL+UUh4WQgiTh7r9yYIb341akboG+C/AX6PurWUp5Wsv4u4ZzgEhxCzwe8BHgDuBf4kKql4DHJFS/ruLuHuXLEKIImBn89VbgdcAnwY+KaVcznMsJ883MxjyQAgxJ6U8AiCl7GSbA+A3etuFEG8G/loIMSKlXLtIu2r4NgweR6ADIKWMs+/vAV4HjAOLQghLSplehN00PAXZkuwLUSsX90gpjwJIKT+XFSq9FniVEGIOGAN+4qLtrOFJ2XIc/1lK+VEhRAkYl1L+fvYzbwL+PyFEXUq5fhF313AWthzDLwC/C7wNdQ0WpZTfL4Q4APzQRdvJSxAhxMuBl6AeZB6WUj4CIKX8cHaPew1wWghxPdCQUv5CHuOaFBTDtkII8X8Ah4UQ/2lgm5BSJgNiDuAtqMneiLZtyNbjuDUqKqW8E7UE/qdZVNwcx22IEOJfoJZiZ1EPTLcKIYo9hwAp5d8Bf4wSAT8I/NHF2lfDk7PlOL4e+JEsCv63wH8f+NG3oB6KzSrGNmPLMfw+VF3U54GfBn4EeGP2o68FLhNCuCYF5anJisr/FCgDrwI+mNVIACCl/HPgz4HfBP4t8Fd5jW0EuGHbIISYAr4f+I/A64UQvwCbxVtWLHQr8LPAj0spmxdjXw1PzpMdx4F/7913fuv/b+/+gy0vCzqOvz8sKxHLQtA2I6PWLGIKFiuYa6QBskkDKhg6648QVmISzCkns8BCmtIlQGdQcfyRuBUma2VNOjgWE+bkD1IDQgRZiSJdSFxhd/m17I9PfzzPtbPbvXvvXe/3nPN9zuf1z733e757vs8+n/s99znPeX4AtwBLh1vCmIvak3YpZaLem4HrgBdShijsGvjj/tPAccCp9Y1VjJFpcvw4ZfjXwbYft71T0n6SzgbeCvx6XlfHyzQZ/iVwoqTDbG+2/Xg9bw0lwz+0vT3DwebkaOCDtt9GqeNrgKsHG+HAEmA55TXu5oW6cBrgMU4eoNwIa4FXUSbq7flRzxLgSGC17duHXcCYk73mONDb/QBw8UKPq4sFcw9lsuW/QxlyAjwCHFt/nvrjfhfwXNvfGEUhY1bT5fgwNcfqEMqE91fmdXUsTZfhVnbPUMD9wKrci/PyGHAMgO0ttq8F1gIXSVpez3kYWLnQ9ZoGeIyFqclbtr8IYHsD5SPvsyVdXM9ZBSwCLrV9x+hKGzOZa46Snm57W8bvj6c6Jn+H7WvrhMtF9aFdlDfBSHqepKfYvj3343iaa4712OXJcfzMI8Nltj9j+86RFbaf1gErJF05cOx6YANlpSeAG7p4U5MGeIyFPT8qq+OCpxpvZ6lswPMe4Em2d46ijDG7OeZ4FbB9FOWLuZlmTP7U34r/Bu6T9FLgMiD34hibY45/QpnAlyzH0DzuxYz3nqe6XOMTlHHzKyW9G6B+KruYst9BZzuMZhWUGCsDPag7oPSgSvo08EbgpD0mYsaYSo5tGMhx6g3TJspEyyeAX7N93+hKF3OVHPsvGS6sqcUdaifRRkmvAP5e0l9QhkeeDLyryzKkBzxGQnU3yz2OybYlPVd1q3KVzXeeCZxi++vDLmfsXXJswxxyPL8eXkqZtPQa27cNtZAxq+TYf8mwG5JWSjpX0tTkVdce8B0qO/w+H/gF4NPAHcAZtu/qskxpgMfQSToT2FhXM/mBekP8PGVZs/+sh++m7IR561ALGbNKjm2YZ45vA37G9t1DLWTMKjn2XzLsRl3C8U8pa32fA6ypPd87a71+ENhWx9qvt/3hYcyHyE6YMVSSjqDs3vVflMXtL3NZZ3Pq8dcCD9q+vr47zbjEMZQc2zDPHBcPfPwdYyQ59l8y7IakY4CPAWts3yzp5ZRG+Grb2/ao16Hu5JsGeAyVypbyz7f9T5JOBj4CvH3whaael0bbGEuObUiObUiO/ZcMuyHpcMq+FB+ZqjdJ/whcZPurA+cNvV7TAI+hmBrXZvv+PY6fRFn4/lLbfy7pF4Fv2P7e8EsZs0mObUiObUiO/ZcMu1HrVYOTUyUdUHu9P0PZrOjLklYA93gES+KmAR6dk3QWZbvcxcDfArfY/uzA4ycDV1N2RTwaeIntb4+irDGz5NiG5NiG5Nh/ybAbc6jXa4A/BlYA5wPn2P7u0MuZBnh0qX78cwPwesraz79E2br6RtvrB857H7AaeFFmdI+f5NiG5NiG5Nh/ybAbc6lXlfW+n0PZyGiNR7QyV9YBj64tArZQPuJ5SNImYBVwkqQH6ni3ZwHLKVvo5gVmPCXHNiTHNiTH/kuG3dhbvW6yfQNwGGWTneNsf2tUBU0PeHRO0lXAQcBv2n6kzvZ+HfCE7XfXyScH2H5wpAWNvUqObUiObUiO/ZcMu7GXet1u+12SngYscQfby89H1gGPzkia+v26mvKO9HclHWR7I/BZ4AxJh9t+NC8w4ys5tiE5tiE59l8y7MYc6vVlkpbZvnfUjW9IAzw6MHUT2N5VD90NfBI4EPiApB8HngHsoIzRijGUHNuQHNuQHPsvGXZjnvW6bSSFnEaGoMSCqcsk3TW4nNLU2pqSnkIZd3UOZTb3YcAFtv9tNKWNmSTHNiTHNiTH/kuG3eh7vaYBHgtC0osp27m+yvZN9ZhsW9KLgAuA37Z9r6RDgB22HxlhkWMaybENybENybH/kmE3WqjXDEGJH5qkU4ErgFfbvknSAZL2qzfCwcA7gfW27wWwvXncboRIjq1Ijm1Ijv2XDLvRSr1mGcJYCKuAA112lVpG+eVfKunzwD8Dv+yyHJCcj1zGWXJsQ3JsQ3Lsv2TYjSbqNUNQYkFI+jBlV6ntwLXAJuC4+vUKyu/arpmfIcZBcmxDcmxDcuy/ZNiNFuo1DfDYJ3WCw1bbmweOvRe43/Y76s+nAG8GzrI9NjOP4/8kxzYkxzYkx/5Lht1osV4zBjzmTdKZlK1ez6vL+wBg+03AZQOnHg7sBBYPt4QxF8mxDcmxDcmx/5JhN1qt1/SAx7zU8VbXAfcC3wb+B7jO9vf2OO+NwBpgjbOF7thJjm1Ijm1Ijv2XDLvRcr2mBzzmazPwW8AbgFuAo4BXS/oJKAviS1oKLKdHN8IESo5tSI5tSI79lwy70Wy9pgc85kTS04D7gf1tPzpw/CzgRGCD7fdKOtb2rXVJoLGeADGJkmMbkmMbkmP/JcNuTEK9pgc8ZiXpdOB64H3ARyU9c+ox239DWfZnmaS/A/5F0hF9uxEmQXJsQ3JsQ3Lsv2TYjUmp1zTAY0YqnkqZ5PAbwB8AXwFulHTM1Hn1hlhOWRLoBNsbR1HemF5ybENybENy7L9k2I1Jq9dsxBMzsm1JG4EvARuA79q+UtJ24B8knWz7LklPpqy/eWafxl9NiuTYhuTYhuTYf8mwG5NWrxkDHtOS9HTgx4D/AN4PfM325QOPvxU4GrjA9mOSlth+eDSljZkkxzYkxzYkx/5Lht2YxHpND3j8P5JeQtna9UHgNuBjwHskLbK9tp72CeAi4HGAvt8ILUqObUiObUiO/ZcMuzGp9ZoGeOxG0gmUbVxfY/tmSR8CngecAHxZ0iLKmpwvAI4HDqXcNDFGkmMbkmMbkmP/JcNuTHK9ZghK7KbeDM+wva7+vAxYZ/t0ScuB36e8A10JnNvn8VctS45tSI5tSI79lwy7Mcn1mgZ47Ka+2zzI9pb6/ZOBTwGn2b5P0k8C36nnbB5lWWNmybENybENybH/kmE3Jrleswxh7Mb2Tttb6o8CHgK+X2+EXwUuBha3diO0Jjm2ITm2ITn2XzLsxiTXa3rAY1aS1gH3AS+msY+AJklybENybENy7L9k2I1Jqdc0wGNGkgQsBu6oX0+xvWG0pYr5So5tSI5tSI79lwy7MWn1mgZ4zErSucBXbN8+6rLEvkuObUiObUiO/ZcMuzEp9ZoGeMxKkpxflN5Ljm1Ijm1Ijv2XDLsxKfWaBnhERERExBBlFZSIiIiIiCFKAzwiIiIiYojSAI+IiIiIGKI0wCMiekrSoZIurN8fIemvO7zWCkmndfX8ERGTJA3wiIj+OhS4EMD2Rtuv6PBaK4A0wCMiFkBWQYmI6ClJ1wFnAN8ENgDPsv3suo7umcBBwFHAlcCTgLOBbcBptr8v6UjgamAZ8Chwvu07Jb0SeDuwE9gMrAK+BRwIfAdYC9wDXAX8CPAYsMb2N+dx7c8BtwInAvsDr7f9r93UVETEeEkPeEREf/0ecLftFcDv7PHYs4FfAX4OeAfwqO3nAF8CXlfP+RDwJtvHA28B3l+PXwKcavtY4GW2n6jH1tteYXs9cCfwwvqclwDvnOe1AX60lv1C4JofrioiIvpj/1EXICIiOnGj7a3AVkmbgU/V47cBPytpCXAC8FdlB2gADqhfvwCsk/QJ4JMzPP8hwJ9JOgowZevoOV174LyPA9j+vKSlkg61/dA+/n8jInojDfCIiDZtG/h+18DPuyiv/fsBD9Ue6N3YfoOklcDpwNckHT/N8/8RpaH9ckk/BXxuHtf+waX2vPRe/j8REc3IEJSIiP7aChy8L//Q9hbgnjreGxXH1u+PtH2T7UuAB4CnTnOtQyjjwQHO3bfis7pe7wXAZtub9/F5IiJ6JQ3wiIiesr0J+IKkrwNX7MNTvBY4T9KtwO2UCZ0AV0i6rT7vFymTJW8EjpZ0i6TVwOXAWkk3s++fpj5e//0HgPP28TkiInonq6BERMTQ1VVQ3mL7q6MuS0TEsKUHPCIiIiJiiNIDHhERERExROkBj4iIiIgYojTAIyIiIiKGKA3wiIiIiIghSgM8IiIiImKI0gCPiIiIiBiiNMAjIiIiIobofwGz6isDjO+UcAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 864x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plot multi step predicted values and actual values\n",
    "# plot at most five step predict values for better view\n",
    "plot_less_five_step_result(test_df, pred_df,past_seq_len=look_back_multi)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plot only the first and the last step predict values and actual values\n",
    "plot_first_last_step_result(test_df, pred_df, past_seq_len=look_back_multi)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Evaluate: the mean square error is [1427645.74220997 2255070.23276274 3517921.35515067 5142232.07454771\n",
      " 6883082.34413457]\n",
      "Evaluate: the smape value is [6.49668565 7.09795792 7.87466491 8.52209701 8.98700605]\n"
     ]
    }
   ],
   "source": [
    "# evaluate test_df\n",
    "mse, smape = pipeline.evaluate(test_df, metrics=[\"mse\", \"smape\"])\n",
    "print(\"Evaluate: the mean square error is\", mse)\n",
    "print(\"Evaluate: the smape value is\", smape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "This instance has been stopped.\n"
     ]
    }
   ],
   "source": [
    "ray_ctx.stop()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.10"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}